Curriculum Vitae - Miel Hostens

Robert and Anne Everett Associate Professor of Digital Dairy Management

Current position

Robert and Anne Everett Associate Professor of Digital Dairy Management and Data Analytics at Department of Animal Science, College of Agriculture and Life Sciences, Cornell University (9 months position) and at Department of Laboratory for Animal Nutrition and Animal Product Quality (0.1 FTE – Ghent University) focusing on the creation of methodologies using precision dairy farming to monitor sustainable food production systems from a global perspective.

Biographical sketch

Miel Hostens received his MSc in Veterinary Medicine at the Ghent University (Belgium) in 2006 and was awarded his PhD in Veterinary Medicine in 2012. His profound interest in dairy science is heavily supported by an active attendance to multiple national and international dairy science conferences between 2007 and 2023. Quickly after his appointment at the department of Reproduction, Obstetrics and Herd Health in 2007, he developed a strong personal vision around the need for more data-driven dairy science through research and industry collaborations. Starting in the early days of his PhD in 2007, he successfully finished several post-graduate educations in the epidemiological, statistical and data science domain. He finished a professional certificate in Epidemiology (Prince Edward Island, 2009) and Bioinformatics (Dublin, 2016). Next to graduate students in Veterinary Medicine, he supervised undergraduate and graduate students in Computer Science and Bio-informatics. To further deepen his data science expertise, he enrolled in a MSc in Computational Statistics in 2016 and finished 45 ECTS credits. After he finished his PhD in 2013, a prototype of an analytical data pipeline and data warehouse architecture he had developed during his PhD was acquired by Delaval, one of the largest milking equipment manufacturers in the world which was subsequently merged into DairyDataWarehouse.com. The data-driven expertise he developed accelerated involvement in several research and industry projects (see below). He has attracted multiple projects on data-driven agriculture and precision dairy farming overseas. The unique combination of data and dairy science in an academic profile was the main reason for attracting him as Associate Professor of Digital Dairy Management and Data Analytics in January 2024 at the Department of Animal Science at Cornell University. His lab focusses on developing a data-driven dairy science eventually contributing to sustainable food production systems from a global perspective.

Presentations

Education

• Enrolled in Master of Science in Computational Statistical Data Analysis, Ghent University.

• PhD in Veterinary Medicine, University of Ghent, 2013:

  • “Health and Fertility Challenges in High Yielding Dairy Cows during the Transition Period and the Use of Dietary Fatty Acids as an Optimization Strategy”

• Master in Veterinary Medicine, University of Ghent, 2006 (cum laude).

• Bachelor in Veterinary Medicine, University of Ghent,2003 (cum laude).

PhDs finished

• Jenne De Koster (2016), PhD title: “Influence of body condition score of dairy cows at the end of pregnancy on peripheral tissue insulin response and metabolic properties of adipose tissue”.

• Peter Hut (2022), PhD title: “Sense of Sensors – Monitoring Behaviour of Dairy Cows” focusing on using sensor technology in transition dairy cows.

• Arno Liseune (2022), PhD title: “Using deep learning for animal monitoring to improve animal welfare in dairy cattle”.

• Chen YongYan (2024), a PhD focusing on the non-linear lactation curve and weight loss modelling in dairy cows.

Ongoing PhD supervision

• Matthieu Salamone, a PhD focusing on “The transition period as time window to monitor the nutritional and metabolic resilience of high productive dairy cattle – Predictive milk production”.

• Kristof Hermans, a PhD focusing on data quality in dairy cows as a follow up on the development of the DairyDataWarehouse.

• Yara Sleghers, a PhD focusing on the applying federated machine learning to disease data in poultry.

• Saba Noor, a PhD focusing on the use of semantic web technologies and federated learning to disease data in livestock.

Professional membership and committees

• Member of the American Dairy Science Association.

• Member of the Dutch Veterinary Association.

• Member of the Flemish Veterinary Association.

• Member of steering committee of the 2016 ADSA Discover Conference on Big Data for Dairy (Chicago, USA).

• Applied Data Science ambassador at Utrecht University.

• Open Science Fellows FAIR data and software at Utrecht University.

• Active member of the ‘Dairy Cattle Milk Recording Working Group’ of the International Committee for Animal Recording.

• Guest editor for the special issue ‘Towards Machine Learning and Artificial Intelligence in the Farm-to-Fork Industry’ in the Applied Science MDPI journal.

• Board member framework development of the Master in Veterinary Medicine – v2022.

• Scientific reviewer for several academic journals (Journal of Dairy Science, Journal of Animal Science, Animal, Dairy Research, Theriogenology, Preventive Veterinary Medicine, Frontiers, PlosOne, Journal of Computer and Electronics in Agriculture, …)

Previous Scientific and Professional Activities

Post-doc assistant position at department of Reproduction, Obstetrics and Herd Health. Senior research position focusing on the optimisation of productive and reproductive performances in small and large dairy herds. Workpackage leader for 3 work packages with a focus on data management in EU FP7 project GplusE Education of master students in Veterinary Medicine Statistical training of PhD students in data management in the area of dairy cows Post academic and extension services in the area of herd health management in dairy cows. Active representative in the Faculty Committee for Internationalisation.	2014-2018
Post-Doc assistant at department of Reproduction, Obstetrics and Herd Health Industry sponsored senior research position focusing on data quality and its effect on productive and reproductive parameters through herd record analysis in small and large herds (in collaboration with Zoetis, Paris, France).	2012-2014
Assistant at the Department of Reproduction, Obstetrics and Herd Health Focus on optimisation of productive and reproductive performances of small and large herds with an emphasis on nutrition	2010-2012
Junior researcher at the Department of Reproduction, Obstetrics and Herd Health Project funded by the Institute for the Promotion of Innovation by Science and Technology in Flanders called “Induction of milk fat depression through specific fatty acids to reduce the negative energy balance after parturition of high yielding dairy cattle in relation to fertility	2007-2010
Veterinarian at Dierenkliniek Den Ham, The Netherlands Dairy cattle and veal calve practice	2006-2007

Teaching experience

Ghent University – Veterinary Medicine

Bachelor of Science in Veterinary Medicine – Ghent University (2020-present)

• Physiology and Pathophysiology I

• Physiology and Pathophysiology II

Master of Science in Veterinary Medicine – Main subject: Ruminants – Cluster Food Producing Animals – Courses in Ruminant and Porcine Herd Health Medicine, with Clinical Training I, II and III  – Ghent University (2007-2018)

• Theoretical courses for Courses in Ruminant and Porcine Herd Health Medicine, with Clinical Training II and III (2015-2018).

• Weekly practical training sessions on herd record interpretation for Courses in Ruminant and Porcine Herd Health Medicine, with Clinical Training III (2014-2018).

• Clinical training III during duties at the Veterinary Service of the Department of Reproduction, Obstetrics and Herd Health (2007-2018).

• Clinical training III during herd health service visits (2008-2018).

Institute for Continued Education at Faculty of Veterinary Medicine

• A practical approach to risk factors for transition cows, 2010.

• Ration balancing for dairy cows, more than VEM and DVE, 2012.

• Factors influencing reproduction and production results in dairy cows, 2014.

• Data management in high yielding dairy cows, 2015.

• Transition cows disease, 2016.

• First results of the GplusE project, 2017.

• Key Performance Indicators on dairy herds, 2013.

• To synch or not to synch dairy cows, 2013.

Basic Summer Course on Veterinary Epidemiology, Ghent University, Belgium

• Big Data in Dairy Analytics (2016)

Ghent University – Bioscience engineering

Bachelor of Science in Bioscience Engineering Technology (2020- present)

• Animal Physiology

• Reproductive Physiology of Animals

Master of Science in Bioscience Engineering Technology: Agriculture and Horticulture (Plant and Animal Production) (2020- present)

• Animal Production Systems

Utrecht University – Veterinary Medicine

Bachelor of Clinical Sciences (2022-present)

Bachelor of Veterinary Medicine

(2019-present)

Master of Veterinary Medicine (2019-present)

• Dairy Health Management

• Veal Calf Management

• International Dairy Study Trip

Master of Bio-informatics and bio-complexity

• Introductory course (2019-present)

Life long learning course – Sustainable Ruminant Health (2022)

Dutch Dairy Student Innovation Challenge (2021-present)

University College Dublin

Summer school – Professional Certificate in Bioinformatics, University College Dublin, Ireland (2017)

• An introduction to scalable data analytics in animal science

Funding and project acquisition

Project description	Budget
GplusE was FP7 project funded by the European Union. It was a five-year project from 2014 and 2018 executed by 15 research and industry partners. The project covered the interaction between genotype and environment contributing to the sustainability of dairy cow production systems. This was achieved through the optimal integration of genomic selection and novel management protocols based on the development and exploitation of genomic data and supporting novel phenotyping approaches.	€9.000.000
DECIDE, is a five-year Horizon 2020 project running from 2021 to 2025. It will develop data-driven decision support tools that offer robust and early signals of disease emergence and options for diagnostic confirmation. Moreover, options will be provided for controlling the disease along with their implications in terms of disease spread, economic burden and animal welfare.	€10.000.000
In the SUMMERFAIR project (SUMmarizing ducationial transmission data to Enable data Reanalysis and predictions by FAIR data use) we tackle the issue of lack of a common terminology and need for repetition of costly experiments by developing a shared vocabulary (domain-ontology) and a workflow enabling reuse and combination of transmission data. The project running from 2021-2022 was granted by the dutch ZoNMW.	€250.000
VEERKRACHT/Resilience – The transition period as a window and metabolic resilience to monitor of dairy cattle, granted by national Belgian VLAIO 2018 is a project that aims at creating tools to monitor the transition success of dairy cows at individual level and herd level. These tools allow the farmer to monitor individual animals at risk, in addition to allow individualized preventive measures. This will reduce the development of transition associated problems, which will increase productivity and animal welfare.	€1.300.000
In 2014 and 2018, I was twice awarded a Microsoft Azure for Research grant of €150k and €25k to incorporate machine learning techniques in monitoring sustainable agriculture practices.	€175.000
Applied data science award from the Utrecht University to create the first LoraWAN network at the faculty of Veterinary Medicine.	€5.000

Intellectual property and knowledge transfer

In 2013, intellectual property created by my group on data processing and visualisation for dairy reproduction data, co-developed between Uniform-Agri (Assen, the Netherlands) and Ghent University, was transferred towards www.DairyDataWarehouse.com (2007-2013). Dairy Data Warehouse nowadays is a specialist dairy data company providing digital solutions for a sustainable, profitable future for dairy farmers and stakeholders throughout the dairy industry.

Extension services

National Institute for Agricultural Training (NCBL)

• Multiple extension training sessions for dairy and beef herd managers on production, transition and reproductive management of dairy cows (2006-2022).

Active involvement in extension services for several Belgian, European and global agricultural businesses. Some examples but not limited to

Feed industry	Milk recording organisations	Genetic companies
www.agrifirm.nl www.aveve.be www.forfarmers.nl www.pahc.com www.nutrivice.com	www.lactanet.ca www.crv4all.nl www.uscdcb.com	www.dhia.org www.semex.com www.altagenetics.com
Pharmaceuticals	Dairy cooperations	Precision dairy farming technologies
www.zoetis.com www.msd.com www.elanco.com	alsafidanone.com	www.delaval.com www.lely.com www.connecterra.io www.mmmooogle.com

Contributions to Congresses, Symposia and Workshops

Invited speaker

• Fresh Cow – Risiken und chancen. Was Sie darüber unbedingt wissen sollten! 2011. Presentation on Rinder-Gesundheitstag, Giesen, Germany.

• Visualisation of fertility records in dairy herds. 2012. Preconference seminar for SIVAR, Cremona, Italy.

• The use of dairy data in herd health management. 2014. Northeast Dairy Production Medicine Symposium, New York, United States.

• The economics of breeding protocols in dairy cows. 2015. Consensus conference on breeding protocols. Nice, France.

• The past, the present and the future of bovine herd health management. 2015. 10^th meeting of the European College of Bovine Herd Health Management, Maribor, Slovenia.

• Bovi-Analytics: an e-learning platform to educate veterinary students big data in dairy cows. 2015. Voorjaarsdagen. Amsterdam, The Netherlands.

• Challenges for data-intensive projects. 2016. EU Commission workshop on animal genomics and breeding for sustainable production, Brussels, Belgium.

• From Big Data to Decisions in Dairy Cows, 2016. Spark Summit, Brussels, Belgium.

• Big Dairy in Dairy Cows, 2016. ADSA Discovery Conference on Big Data in Dairy Cows, Chicago, United States.

• Visualisation and analysis of reproductive performance, 2017. Total Dairy Seminar, Keele, United Kingdom.

• Pitfalls in Dairy Analytics (advanced technical), 2017. Total Dairy Seminar, Keele, United Kingdom.

• Analysis of reproductive performance (farmer orientated), 2017. Total Dairy Seminar, Keele, United Kingdom.

• Transition management as a key to fertility success, 2017. Total Dairy Seminar, Keele, United Kingdom.

• How to monitor productive performance on a small vs large dairy, 2017. Anembe congress, Pamplona, Spain.

• Common analytical data pitfalls every practitioner should know about, 2017. Anembe congress, Pamplona, Spain.

• Will semantics help disentangle the Gordian knot of Big Data in animal health, 2017. Semantics conference, Amsterdam, Belgium.

• Monitoring fertility control programs in small and large dairy herds , 2017, The 7^th National & 1^st International Congress of Veterinary Gynecology, Marmaris, Turkey

• Opening keynote: A novel approach to data mining and prediction modelling in dairy cows, 2017. Big Data Conference, Vilnius, Lithuania.

• Opening Keynote: BigData Moscow: A Novel Approach to Data Mining And Prediction Modelling in Dairy Cows, 2018. Moscow, Russia.

• Transforming Big Data into Value: Put Data to Work for Your Dairy, 2018. Connect Summit, Beaver Creek, USA.

• Transforming Big Data into Value: Put Data to Work for Your Dairy, 2018. CDCB – 10 years of genomics, Reno, USA.

• Metabolic clustering of dairy cows at early and peak lactation. Global Genetics Pathfinder Initiative, Rome, Italy, 2018.

• Dairy Intelligence and Turning Data Into Information. 2019. Connect Summit, Beaver Creek, USA.

• Predicting the Moment of Birth using Sensor Data in Dairy Cows. 2019. Big Data Conference, Vilnius, Lithuania.

• What makes a biomarker a good one? 2019. Tartu, Estonia.

• Put Data to Work for the Dairy Industry. 2020. National DHIA Leadership and Annual Meeting, Savannah, USA.

• Agricultural Genome to Phenome Initiative. AG2PI meeting 2020. Online meeting.

• Monitoring transition cows using novel techniques. ADSA 39^th Discover meeting 2021. Online meeting.

• Using data to embrace excellence in hoof health – challenges and opportunities. 2022. 21^st International symposium & 13^th international conference on lameness in ruminants, Bloomington, USA. (Link to presentation)

• How to Make Sense of 24x7 Sensor Data. 2022. Dairy Cattle Improvement Industry Forum, Lactanet, Toronto, Canada. (Link to presentation)

• Sustainable dairy production, EU within a global perspective. VetCVE meeting 2023, Cork, Ireland (Link to presentation).

• Sustainable dairy production from a global perspective, www.boerensymposium.nl, Groningen, The Netherlands (Link to presentation).

• The Finnish Veterinary Congress, 2023, Helsinki, Finland

  • Link to presentation 1

  • Link to presentation 2

  • Link to presentation 3

Oral conference presentation

• The effect of marine algae supplementation in the ration of high yielding dairy cows during transition and its effect on metabolic parameters in the serum and follicular fluid around parturition. 2009. Oral presentation on the XI International Symposium on Ruminant Physiology, Clermont-Ferrand, France.

• On-farm evaluation of the effect of metabolic diseases on the shape of the lactation curve in dairy cows through the milkbot lactation model. 2012. Oral presentation on the 27^th World Buiatrics Congress, Lisbon, Portugal.

• Potential for novel glycan measurements in milk as biomarker phenotypes for dairy traits. 2016. Oral presentation on 67^th Annual Conference of the European Federation of Animal Science, Belfast, United Kingdom.

• MmmooOgle: From Big Data to Decisions for Dairy Cows. Data + AI summit 2016. Brussels. Belgium.

• Data Mining and Prediction Modelling in the Dairy Industry Using Time Series and Sliding Windows with Apache Spark 2. Data + AI summit 2016. Dublin. Ireland.

• Exploratory classification of multiparous dairy cows based on fertility related phenotypes. 2017. Oral presentation on 68^th Annual Conference of the European Federation of Animal Science, Tallinn, Estonia.

• Investigating metabolic phenotypes in multiparous dairy cows by component analysis and clustering. 2017. Oral presentation on 68^th Annual Conference of the European Federation of Animal Science, Tallinn, Estonia.

• The use of technologies in dairy innovation. 2018. European Regions Research and Innovation Conference – Food Safety 2020 -  Seinäjoki, Finland.

• Can artificial intelligence be used on historical cow data to improve data quality and standardization of disease records. 2019. ICAR Annual meeting. Prague, Czech Republic.

• Predicting the next life event of cows by applying deep learning on sequential and pictorial data. 2019. 9^th European Conference on Precision Livestock Farming Cork, Ireland.

• Big Data for Dairy and Monitoring Cow Health and Performance. Global Dairy Series Phibro Academy 2020. Online meeting.

• The veterinary toolbox for reproductive herd health management now and in the (near) future. Zoetis Poland 2020. Online meeting.

• Modern tools for milk recording management.ICAR Annual meeting. Leeuwarden, the Netherlands. 2021. Online meeting.

• The importance of sensor data in transition cow monitoring. Alta Vet-to-vet webinar 2021. Online meeting.

• Detecting the subclinical diseased transition cow: how novel phenotyping strategies can help. Elanco Scientific Symposium 2021. Rotterdam. The Netherlands.

• Prediction of persistency at day 305 in lactation at the moment of the insemination decision. ICAR Conference 2023. Toledo. Spain. (Link to presentation)

• A predictive model for hypocalcemia in dairy cows utilizing behavioural sensor data combined with deep learning. ADSA Annual Meeting. 2023. Ottawa. Canada.

• Generative AI in agriculture. CIDA Symposium 2024. Ithaca [Link to presentation]

Extension workshops

• How we practitioners should implement our nutrition knowledge to help our farmers? 2011. Workshop on the 6^th European Congress of Bovine Health Management, Liège, Belgium.

• Technology in dairy. 2012. Masterclasses for Zoetis, Cremona, Italy.

• HACCP approaches for fertility management in livestock. 2013. Workshop on the 17^th ESDAR Conference, Bologna, Italy.

• Herd Health Management: The future for bovine practioners: challenge or opportunity. 2013. Masterclasses for Zoetis, Germany.

• Visualisation of heat detection and conception rates in small and large dairy herds. 2013. Masterclasses for Zoetis, The Netherlands.

• Transition management and its influence on fertility. 2013. Presentation for Proveto, The Netherlands.

• Pitfalls in the analysis of reproductive records in dairy herds. 2013. Presentation for Proveto, The Netherlands.

• Subclinical ketosis during the transition period. 2013. Launch Events Exxit Ketose, Elanco, Belgium.

• Masterclasses reproductive management in dairy cows. 2014. Zoetis, The Netherlands.

• Visualisation and interpretation of reproductive herd records. 2014. International Cow Fertility Conference ‘New Science – New Practices’, Westport, Ireland.

• Masterclasses reproductive management in dairy cows. 2015. Zoetis, Belgium.

• Masterclasses Transition Management. 2015. Zoetis, The Netherlands.

• Transforming Big Data into real world evidence for SARA. 2016. DairyCare Workshop on Sub-Acute Ruminal Acidosis, Glasgow, United Kingdom.

• Bovine herd health management. 2016. Workshop on the 20^th ESDAR Conference, Lisbon, Portugal.

• Dairy data management, where to start. 2017. Workshop on the ANEMBE Conference, Pamplona, Spain.

• How to monitor reproductive performance, 2017. Workshop on ANEMBE Conference, Pamplona, Spain.

• Multiple sessions for the Ruminant Specialisation 2017-2018, Merelbeke, Belgium.

  • General introduction to dairy data analytics

  • Common analytical data pitfalls every practitioner should know about

  • Monitoring production

  • Monitoring reproduction

  • Insemination strategy

  • Conception strategy

  • Improve dairy cow fertility

• The truth about transition disease in dairy cows, 2017. Dechra, Tielt, Belgium.

• First results of the GplusE project, 2017. Post-Education in Veterinary Medicine, Merelbeke, Belgium.

• Ruminant clinical cases, 2017. Institute for continued education at Ughent, Merelbeke, Belgium.

• Monitoring reproduction in high yielding dairy cows. Dyrlaeger & Ko, Vintermøde, 2018, Hovborg Kro, Denmark.

• Feeding the dairy cow – Basics of high yielding dairy cows. Vakdierenarts rund 2018-2019, Merelbeke, Belgium.

• Feeding the dairy cow –Feeding high intake and milk composition. Vakdierenarts rund 2018-2019, Merelbeke, Belgium.

• Zoetis Advanced Fertilitiy Consulting 2018-2019

• Act, think and work like a datascientist. Bio-Informatics Course 2018, UCD Dublin, Ireland.

• GplusE Training School, 2018. Bucarest, Roumania/ Madrid, Spain.

• Not only a success story: A workshop on lessons learned from the past and what is really needed to move from precision to smart dairy farming! Workshop on the 10^th ECPLF conference. Vienna, Austria. 2022.

• Sustainable Ruminant Health. How to manage it successfully. 2023. Utrecht, The Netherlands [Link to presentation].

• Sustainable Ruminant Health. Presentation for DAP Oostland. 2023. Halle, The Netherlands [Link to presentation].

• Duurzame melkveehouderij vanuit een internationaal perspectief. Boerensymposium. Groningen, The Netherlands [Link to presentation].

• Meer melk uit (ruw)voer. Klantenavond 2023 Dierenkliniek Wolvega. Wolvega, The Netherlands. [Link to presentation].

• NutriVice studie bijeenkomst 2023. Een toekomst voor de Nederlandse melkveehouderij. Ane & Velden, The Netherlands [Link to presentation].

• Evolution or revolution. Future Food Utrecht Symposium 2023. Driebergen, The Netherlands [Link to presentation].

• Toekomst van de melkveehouderij in Nederland, Europa en daarbuiten. DAMB. Ithaca [Link to presentation].

Professional supplementary training and education

Leadership domain
University Teaching Qualification at Centre for Academic Teaching and Learning, Utrecht, The Netherlands	2019
Research Leadership Development Programme for talented researchers at Centre for Academic Teaching and Learning, Utrecht, The Netherlands	2021
Dairy science domain
Cursus rundveevoeding: recente ontwikkelingen en nieuwe inzichten, Wageningen Business School, The Netherlands	2007
BASF, Tagungsveranstaltung, Haus Riswick, Germany	2007
WIAS Seminar: Strategies to improve health and fertility in dairy cows, Wageningen, The Netherlands	2008
ITB Schulung Februar, DSP Agrosoft, Verden, Germany	2008
14th DISCOVER Conference: Lipids for Dairy Cattle: Today’s Issues, Tomorrow’s Challenges, Nashville, Indiana, United States	2008
25th World Buiatrics Congress, Budapest, Hungary	2008
International symposium: Nutritional strategies to manage the challenges of today’s dairy cows, Wageningen, The Netherlands	2009
International Symposium on Ruminant Physiology, Clermont-Ferrand, France	2009
Rindergesundheitstag – Milch und gute Fruchtbarkeit: Die besten Strategien, Leipzig, Germany	2009
ITB Schulung August, DSP Agrosoft, Verden, Germany	2009
17th DISCOVER Conference: Dairy Herd Analytics, Nashville, United States	2009
20th Discover Conference: The Transition Cow: Biology and Management, Champaign, United States	2010
Dairy Solutions Symposium – Rumen Health : A 360° Analysis, Utrecht, The Netherlands	2010
Alta Value Services Konferenz, Bremen, Germany	2010
14th International Conference on Production Diseases in Farm Animals, Ghent, Belgium	2010
International Reproduction Conference, Anchorage, United States	2010
Bovine Professionals Meeting, Fertility and Rumen Health, Hofheim, Germany	2010
21st Discover Conference: Improving Reproductive Efficiency of Lactating Dairy Cattle, United States	2011
22nd Discover Conference: Milk Components: Opportunities for Maximizing Farm Gate Returns, Chicago, United States	2011
Rindergesundheitstag, Giesen, Germany	2011
European Buiatrics Forum, Marseille, France	2011
Meeting American Association for Bovine Practitioners, Louisville, United States	2011
25th Discover Conference: New Developments in Immunity, Nutrition, and Management of the Preruminant Calf, Chicago, United States	2012
27th World Buiatrics Congress, Lisbon, Portugal	2012
Meeting American Association for Bovine Practitioners, Toronto, Canada	2012
14th international congress of sivar ,Cremona, Italy	2012
Bovine Professionals Meeting, Claw Health and Transition Management, Hofheim, Germany	2012
26th Discover Conference: Dairy Feed Efficiency, United States	2013
Meeting of the European Society for Domestic Animal Reproduction, Milano, Italy	2013
Dairyland Initiative Meeting on Transition Cow and Positive Pressure Tube Ventilation, Madison, United States	2013
28th Discover Conference: Starch for Ruminants, Chicago, United States	2014
Joint ASA-ADSA Annual Meeting, Kansas City, United States	2014
65th Annual Conference of the European Federation of Animal Science, Copenhagen, Denmark	2014
Blanca Reproduction Workshop, Barcelona, Spain	2015
ICAR Technical meeting, Cracow, Poland	2015
66th Annual Conference of the European Federation of Animal Science, Warshau, Poland	2015
7th European Conference on Precision Livestock Farming, Milan, Italy	2015
Large Dairy Herd Management Conference, Chicage, United States	2016
67th Annual Conference of the European Federation of Animal Science, Belfast, United Kingdom.	2016
68th Annual Conference of the European Federation of Animal Science, Tallinn, Estonia.	2017
70th Annual Conference of the European Federation of Animal Science, Ghent, Belgium.	2019
ADSA Annual meeting, Cincinnati, Ohio	2019
9th European Conference on Precision Livestock Farming Cork, Ireland.	2019
European Bovine Congress	2019
Annual ICAR meeting, Prague, Czech Republic.	2019
9th European Conference on Precision Livestock Farming Cork, Ireland	2019
39th Discover Conference: The Transition Period – From physiology to management, online meetings	2020
Annual ICAR conference, Leeuwarden, The Netherlands	2021
Dairy InnovCongress, Namur, Belgium	2022
Annual ICAR conference, Montreal, Canada	2022
10th European Conference on Precision Livestock Farming, Vienna, Austria	2022
43th Discover Conference: Dairy Cattle Reproduction – Lessons learned and future frontiers	2022
Joint Committee for Dairy Diagnostics, Rome, Italy	2022
Informatics, Data science and statistical domain
Post-graduate courses in applied informatics at Hogent (https://www.hogent.be/en/future-student/postgraduate-non-degrees/).	2007-2010
EPI on the Island 2009: An introduction to multilevel modeling, Prince Edward Island, Canada	2009
Introduction to SAS, Institute for Continued Education, Ghent, Belgium	2009
Introductory Statistics. Basics of Statistical Inference, Institute for Continued Education, Ghent, Belgium	2009
Analysis of Variance, Institute for Continued Education, Ghent, Belgium	2009
Applied Linear Regression, Institute for Continued Education, Ghent, Belgium	2010
Applied Logistic Regression, Institute for Continued Education, Ghent, Belgium	2011
Multilevel Analysis for Grouped and Longitudinal Data, Institute for Continued Education, Ghent, Belgium	2011
Design and Analysis of Clinical Trials, UGhent, Belgium	2011
Survival Analysis, UGhent, Belgium	2012
Introduction to R, Institute for Continued Education, Ghent, Belgium	2013
Tech Transfer Skills Workshop, Institute for Continued Education, Ghent, Belgium	2013
Multivariate data analysis, Institute for Continued Education, Ghent, Belgium	2014
An Introduction to Big Data, Institute for Continued Education, Ghent, Belgium	2015
Professional Certificate in Bioinformatics, University College Dublin, Ireland	2016
Principles of Statistical Data Analysis, Ghent, Belgium	2016
Statistical Modelling, Ghent, Belgium	2016
Data + AI summit. Brussels. Belgium.	2016
Big Data Science, Ghent, Belgium	2017
Computer-intensive Statistical Methods, Ghent, Belgium	2017
Databases, Ghent, Belgium	2017
Programming and Algorithms, Ghent, Belgium	2017
Statistical Computing, Ghent, Belgium	2017
Data + AI summit. Dublin. Ireland.	2017

Natural Languages

Mother tongue : Dutch

Other:

	Understanding	Speaking	Writing
English	+++	+++	+++
French	++	+	±
German	±	±	-
Italian	±	±	-

Datascience skills

Computer languages	Datascience software	Statistical frameworks
[R] Python Scala SQL SAS code Bash C++	SQL Server/warehouse Jupyter notebooks Jupyter lab Intellij Google colab Spark scala Tableau Docker TensorFlow Git & Github	SPSS SAS-Project R-Project
Cloud	Hardware
Microsoft azure Google cloud Docker TheThingsNetwork	IoT (eg LoraWAN) Arduino framework RaspberryPi

Publications

Asaadi, A., M. Kafi, H. Atashi, M. Azari, and M. Hostens. 2019. Frozen-thawed ampullary cell monolayer improves bovine embryo in vitro development and quality. Zygote 27:337–346. doi:10.1017/S0967199419000388.

Atashi, H., A. Asaadi, and M. Hostens. 2021a. Association between age at first calving and lactation performance, lactation curve, calving interval, calf birth weight, and dystocia in holstein dairy cows. PLoS One 16:e0244825. doi:10.1371/journal.pone.0244825.

Atashi, H., and M. Hostens. 2021. Genetic aspects of somatic cell count in holstein dairy cows in iran. Animals (Basel) 11. doi:10.3390/ani11061637.

Atashi, H., M. Hostens, and E. consortium Gplus. 2021b. Genetic parameters for milk urea and its relationship with milk yield and compositions in holstein dairy cows. PLoS One 16:e0253191. doi:10.1371/journal.pone.0253191.

Atashi, H., M. Salavati, J. De Koster, M.A. Crowe, G. Opsomer, E. consortium Gplus, and M. Hostens. 2020a. Genome-wide association for metabolic clusters in early-lactation holstein dairy cows. J Dairy Sci 103:6392–6406. doi:10.3168/jds.2019-17369.

Atashi, H., M. Salavati, J. De Koster, M.A. Crowe, G. Opsomer, M. Hostens, and E.C. The Gplus. 2020b. A genome-wide association study for calving interval in holstein dairy cows using weighted single-step genomic BLUP approach. Animals (Basel) 10. doi:10.3390/ani10030500.

Atashi, H., M. Salavati, J. De Koster, J. Ehrlich, M. Crowe, G. Opsomer, E. consortium Gplus, and M. Hostens. 2020c. Genome-wide association for milk production and lactation curve parameters in holstein dairy cows. J Anim Breed Genet 137:292–304. doi:10.1111/jbg.12442.

Atashi, H., M. Salavati, J. De Koster, J. Ehrlich, M. Crowe, G. Opsomer, N. McLoughlin, A. Fahey, E. Matthews, A. Santoro, C. Byrne, P. Rudd, R. O’Flaherty, S. Hallinan, C. Wathes, Z.R. Cheng, A. Fouladi, G. Pollott, D. Werling, B.S. Bernardo, A. Wylie, M. Bell, M. Vaneetvelde, K. Hermans, G. Opsomer, S. Moerman, J. De Koster, H. Bogaert, J. Vandepitte, L. Vandevelde, B. Vanranst, J. Hoglund, S. Dahl, S. Ostergaard, J. Rothmann, M. Krogh, E. Meyer, C. Gaillard, J. Ettema, T. Rousing, F. Signorelli, F. Napolitano, B. Moioli, A. Crisa, L. Buttazzoni, J. McClure, D. Matthews, F. Kearney, A. Cromie, M. McClure, S.J. Zhang, X. Chen, H.C. Chen, J.L. Zhao, L.G. Yang, G.H. Hua, C. Tan, G.Q. Wang, M. Bonneau, A. Pompozzi, A. Pearn, A. Evertson, L. Kosten, A. Fogh, T. Andersen, M. Lucey, C. Elsik, G. Conant, J. Taylor, N. Gengler, M. Georges, F. Colinet, M.R. Pamplona, H. Hammami, C. Bastin, H. Takeda, A. Laine, A.S. Van Laere, M. Schulze, S.P. Vera, C. Ferris, C. Marchitelli, M. Hostens, and G. Consortium. 2020d. Genome-wide association for milk production and lactation curve parameters in holstein dairy cows. Journal of Animal Breeding and Genetics 137:292–304. doi:10.1111/jbg.12442.

Atashi, H., M. Salavati, J. Koster, M.A. Crowe, G. Opsomer, M. Hostens, and G. Consortium. 2020e. Genome-wide association for metabolic clusters in early -lactation holstein dairy cows. Journal of Dairy Science 103:6392–6406. doi:10.3168/jds.2019-17369.

Bogado Pascottini, O., M. Hostens, and G. Opsomer. 2018. Cytological endometritis diagnosed at artificial insemination in repeat breeder dairy cows. Reprod Domest Anim 53:559–561. doi:10.1111/rda.13110.

Bogado Pascottini, O., M. Probo, S.J. LeBlanc, G. Opsomer, and M. Hostens. 2020. Assessment of associations between transition diseases and reproductive performance of dairy cows using survival analysis and decision tree algorithms. Prev Vet Med 176:104908. doi:10.1016/j.prevetmed.2020.104908.

Bossaert, P., L. Leterme, T. Caluwaerts, S. Cools, M. Hostens, I. Kolkman, and G. Opsomer. Teaching rectal palpation of the genital apparatus in cows: Depiction of the learning process in live cows and evaluation of a simulated training model. Page 67 in European buiatrics forum.

Caluwaerts, T., M. Hostens, B. Van Ranst, A. de Kruif, and G. Opsomer. Monitoring reproduction in modern dairy herds. Page 65 in 13th annual conference of the european society for domestic animal reproduction.

Caluwaerts, T., M. Hostens, B. Van Ranst, A. de Kruif, and G. Opsomer. 2009. Monitoring reproduction in modern dairy herds. Reproduction in Domestic Animals 44:65.

Caluwaerts, T., M. Hostens, B. Van Ranst, and G. Opsomer. The relationship between the increasing ratio of milk yield in the first part of lactation and the moment of first recorded heat in dairy cows. Page 98 in 13th annual conference of the european society for domestic animal reproduction.

Charlier, J., M. Hostens, J. Jacobs, B. Van Ranst, L. Duchateau, and J. Vercruysse. 2012. Integrating fasciolosis in the dry cow management: The effect of closantel treatment on milk production. Plos One IF 4.092:in press.

Charlier, J., J. Jacobs, M. Hostens, B. Van Ranst, L. Duchateau, and J. Vercruysse. Treatment with closantel oral suspension at dry-off in dairy cows exposed to the liver fluke: Effect on milk production parameters. Page 68 in 6th european congress of bovine health management.

Chen, Y., M. Hostens, M. Nielen, J. Ehrlich, and W. Steeneveld. 2022. Herd level economic comparison between the shape of the lactation curve and 305 d milk production. Front Vet Sci 9:997962. doi:10.3389/fvets.2022.997962.

Cools, S., P. Bossaert, T. Caluwaerts, M. Hostens, G. Opsomer, and A. de Kruif. 2008. De economische gevolgen van een verlenging van de tussenkalftijd bij hoogproductief melkvee. Vlaams Diergeneeskundig Tijdschrift 77:402–409.

Crowe, M.A., M. Hostens, and G. Opsomer. 2018. Reproductive management in dairy cows - the future. Ir Vet J 71:1. doi:10.1186/s13620-017-0112-y.

De Koster, J., M. Salavati, C. Grelet, M.A. Crowe, E. Matthews, R. O’Flaherty, G. Opsomer, L. Foldager, GplusE, and M. Hostens. 2019b. Corrigendum to "prediction of metabolic clusters in early-lactation dairy cows using models based on milk biomarkers" (j. Dairy sci. 102:2631-2644). J Dairy Sci 102:3778. doi:10.3168/jds.2019-102-4-3778.

De Koster, J., M. Salavati, C. Grelet, M.A. Crowe, E. Matthews, R. O’Flaherty, G. Opsomer, L. Foldager, GplusE, and M. Hostens. 2019a. Prediction of metabolic clusters in early-lactation dairy cows using models based on milk biomarkers. J Dairy Sci 102:2631–2644. doi:10.3168/jds.2018-15533.

De Koster, J., M. Salavati, C. Grelet, M.A. Crowe, E. Matthews, R. O’Flaherty, G. Opsomer, L. Foldager, M. Hostens, N. McLoughlin, A. Fahey, A. Santoro, C. Byrne, P. Rudd, S. Hallinan, C. Wathes, Z.R. Cheng, A. Fouladi, G. Pollott, D. Werling, B.S. Bernardo, A. Wylie, M. Bell, M. Vaneetvelde, K. Hermans, S. Moerman, H. Bogaert, J. Vandepitte, L. Vandevelde, B. Vanranst, J. Hoglund, S. Dahl, S. Ostergaard, J. Rothmann, M. Krogh, E. Meyer, C. Gaillard, J. Ettema, T. Rousing, F. Signorelli, F. Napolitano, B. Moioli, A. Crisa, L. Buttazzoni, J. McClure, D. Matthews, F. Kearney, A. Cromie, M. McClure, S.J. Zhang, X. Chen, H.C. Chen, J.L. Zhao, L.G. Yang, G.H. Hua, C. Tan, G.Q. Wang, M. Bonneau, A. Pompozzi, A. Pearn, A. Evertson, L. Kosten, A. Fogh, T. Andersen, M. Lucy, C. Elsik, G. Conant, J. Taylor, N. Gengler, M. Georges, F. Colinet, M.R. Pamplona, H. Hammami, C. Bastin, H. Takeda, A. Laine, A.S. Van Laere, M. Schulze, S.P. Vera, and GplusE. 2019c. Prediction of metabolic clusters in early-lactation dairy cows using models based on milk biomarkers. Journal of Dairy Science 102:2631–2644. doi:10.3168/jds.2018-15533.

De Koster, J., M. Salavati, C. Grelet, M.A. Crowe, E. Matthews, R. O’Flaherty, G. Opsomer, L. Foldager, N. McLoughlin, A. Fahey, E. Matthews, A. Santoro, C. Byrne, P. Rudd, R. O’Flaherty, S. Hallinan, C. Wathes, Z.R. Cheng, A. Fouladi, G. Pollott, D. Werling, B.S. Bernardo, A. Wylie, M. Bell, M. Vaneetvelde, K. Hermans, G. Opsomer, S. Moerman, J. De Koster, H. Bogaert, J. Vandepitte, L. Vandevelde, B. Vanranst, J. Hoglund, S. Dahl, S. Ostergaard, J. Rothmann, M. Krogh, E. Meyer, C. Gaillard, J. Ettema, T. Rousing, F. Signorelli, F. Napolitano, B. Moioli, A. Crisa, L. Buttazzoni, J. McClure, D. Matthews, F. Kearney, A. Cromie, M. McClure, S.J. Zhang, X. Chen, H.C. Chen, J.L. Zhao, L.G. Yang, G.H. Hua, C. Tan, G.Q. Wang, M. Bonneau, A. Pompozzi, A. Pearn, A. Evertson, L. Kosten, A. Fogh, T. Andersen, M. Lucy, C. Elsik, G. Conant, J. Taylor, N. Gengler, M. Georges, F. Colinet, M.R. Pamplona, H. Hammami, C. Bastin, H. Takeda, A. Laine, A.S. Van Laere, M. Schulze, S.P. Vera, C. Marchitelli, M. Hostens, and GplusE. 2019d. Prediction of metabolic clusters in early-lactation dairy cows using models based on milk biomarkers (vol 102, pg 2631, 2019). Journal of Dairy Science 102:3778–3778. doi:DOI 10.3168/jds.2019-102-4-3778.

Depreester, E., J. De Koster, M. Van Poucke, M. Hostens, W. Van den Broeck, L. Peelman, G.A. Contreras, and G. Opsomer. 2018. Influence of adipocyte size and adipose depot on the number of adipose tissue macrophages and the expression of adipokines in dairy cows at the end of pregnancy. J Dairy Sci 101:6542–6555. doi:10.3168/jds.2017-13777.

Foldager, L., C. Gaillard, M.T. Sorensen, T. Larsen, E. Matthews, R. O’Flaherty, F. Carter, M.A. Crowe, C. Grelet, M. Salavati, M. Hostens, K.L. Ingvartsen, M.A. Krogh, and E.C. Gplus. 2020. Predicting physiological imbalance in holstein dairy cows by three different sets of milk biomarkers. Prev Vet Med 179:105006. doi:10.1016/j.prevetmed.2020.105006.

Goderis, M., M. Hostens, and G. Opsomer. Severe outbreaks of botulism in cattle herds in flanders : 4 case reports. Pages 75–76 in 15th world buiatrics congress.

Grelet, C., E. Froidmont, L. Foldager, M. Salavati, M. Hostens, C.P. Ferris, K.L. Ingvartsen, M.A. Crowe, M.T. Sorensen, J.A. Fernandez Pierna, A. Vanlierde, N. Gengler, E.C. Gplus, and F. Dehareng. 2020. Potential of milk mid-infrared spectra to predict nitrogen use efficiency of individual dairy cows in early lactation. J Dairy Sci 103:4435–4445. doi:10.3168/jds.2019-17910.

Hermans, K., G. Opsomer, B. Van Ranst, and M. Hostens. 2018. Promises and challenges of big data associated with automated dairy cow welfare assessment. Animal Welfare in a Changing World 199–207.

Hostens, M., P. Bossaert, S. Cools, A. de Kruif, and G. Opsomer. 2010. Het gebruik van glucogene precursoren in de voeding van hoogproductief melkvee. Vlaams Diergeneeskundig Tijdschrift 79:247–258.

Hostens, M., T. Caluwaerts, B. Van Ranst, and G. Opsomer. The effect of age at first calving on subsequent production in dairy cattle. Pages 85–86 in 13th annual conference of the european society for domestic animal reproduction.

Hostens, M., T. Caluwaerts, E. Vandekerckhove, S. De Vliegher, S. Piepers, B. Van Ranst, and G. Opsomer. Factors associated with oestrous length in high yielding dairy cows. Page 65 in European buiatrics forum.

Hostens, M., V. Fievez, J.L.M.R. Leroy, B. Van Ranst, B. Vlaeminck, and G. Opsomer. 2012a. The level of unsaturation of milk and reproductive performance in dairy cattle. Animal Reproduction Science (Submitted).

Hostens, M., V. Fievez, J.L.M.R. Leroy, J. Van Ranst, B. Vlaeminck, and G. Opsomer. 2012b. The fatty acid profile of subcutaneous and abdominal fat in dairy cows with left displacement of the abomasum. Journal of Dairy Science 95:3756–3765. doi:DOI 10.3168/jds.2011-5092.

Hostens, M., V. Fievez, B. Vlaeminck, J. Buyse, J.L.M.R. Leroy, S. Piepers, S. De Vliegher, and G. Opsomer. The effect of DHA enriched marine algae in the ration of high yielding dairy cows during transition on milk components in ADSA discovery conference on milk components.

Hostens, M., V. Fievez, B. Vlaeminck, S. De Vliegher, S. Piepers, and G. Opsomer. The effect of marine algae supplementation in the ration of high yielding dairy cows during transition and its effect on metabolic parameters in the serum and follicular fluid around parturition. Pages 712–713 in XI international symposium on ruminant physiology.

Hostens, M., V. Fievez, B. Vlaeminck, J.L.M.R. Leroy, and G. Opsomer. 2012c. The effect of feeding omega-6 and omega-3 fatty acids in early lactation on blood and follicular fluid fatty acid profiles (In Preparation).

Hostens, M., and G. Opsomer. Interaction of metabolic challenges and successful fertility in high yielding dairy cows. review. Pages 118–121 in 27th world buiatrics congress.

Hostens, M., L. Peelman, V. Fievez, and G. Opsomer. The effect of microalgae supplementation on the liver function in transition dairy cows in 14th international conference on production diseases in farm animals.

Hostens, M., L. Peelman, V. Fievez, and G. Opsomer. The effect of microalgae supplementation on the mRNA expression for gluconeogenic enzymes in liver of transition dairy cows. Page 583 in 8th ruminant reproduction symposium.

Hostens, M., A. Steen, V. Fievez, and G. Opsomer. Differences in fatty acid profile of subcutaneous fat at drying-off versus at calving in high yielding dairy cows fed extruded linseed during lactation. Page 128 in European buiatrics forum.

Hostens, M., B. Van Ranst, T. caluwaerts, and G. Opsomer. The fertitree : A decision tree for reproductive management in high yielding dairy cows in europe in 21th ADSA discover meeting.

Hostens, M., B. Vlaeminck, V. Fievez, and G. Opsomer. The effect of marine algae supplementation in high yielding dairy cows during transition on metabolic parameters in the serum and follicular fluid early post-partum. Page 86 in 13th annual conference of the european society for domestic animal reproduction.

Hostens, M., B. Vlaeminck, V. Fievez, J. Van Ranst, and G. Opsomer. The fatty acid profile of subcutaneous and abdominal fat depots as compared to the NEFA in the blood plasma during the negative energy balance in high yielding dairy cows. Page 131 in 14th international conference on production diseases in farm animals.

Hut, P.R., M.M. Hostens, M.J. Beijaard, F. van Eerdenburg, J. Hulsen, G.A. Hooijer, E.N. Stassen, and M. Nielen. 2021. Associations between body condition score, locomotion score, and sensor-based time budgets of dairy cattle during the dry period and early lactation. J Dairy Sci 104:4746–4763. doi:10.3168/jds.2020-19200.

Hut, P.R., S.E.M. Kuiper, M. Nielen, J. Hulsen, E.N. Stassen, and M.M. Hostens. 2022a. Sensor based time budgets in commercial dutch dairy herds vary over lactation cycles and within 24 hours. PLoS One 17:e0264392. doi:10.1371/journal.pone.0264392.

Hut, P.R., J. Scheurwater, M. Nielen, J. van den Broek, and M.M. Hostens. 2022b. Heat stress in a temperate climate leads to adapted sensor-based behavioral patterns of dairy cows. J Dairy Sci 105:6909–6922. doi:10.3168/jds.2021-21756.

Kamal, M., M. Van Eetvelde, E. Depreester, M. Hostens, L. Vandaele, and G. Opsomer. 2014. Age at calving in heifers and level of milk production during gestation in cows are associated with the birth size of holstein calves. Journal of dairy science 97:5448–5458.

Kemel, C., M. Salamone, H. Van Loo, C. Latour, S. Vandeputte, J. Callens, M. Hostens, and G. Opsomer. 2022. Unaffected semen quality parameters in neospora caninum seropositive belgian blue bulls. Theriogenology 191:10–15. doi:10.1016/j.theriogenology.2022.07.013.

Knegsel, A.T.M. van, M. Hostens, G.D. Reilingh, A. Lammers, B. Kemp, G. Opsomer, and H.K. Parmentier. 2012. Natural antibodies related to metabolic and mammary health in dairy cows. Preventive Veterinary Medicine 103:287–297. doi:DOI 10.1016/j.prevetmed.2011.09.006.

Knegsel, A.T.M. van, M. Hostens, G. de Vries Reilingh, V. Fievez, G. Opsomer, and H.K. Parmentier. Microalgae supplementation does not affect natural antibodies levels in plasma of peripartum dairy cows. Page 166 in 14th international conference on production diseases in farm animals.

Krogh, M.A., M. Hostens, M. Salavati, C. Grelet, M.T. Sorensen, D.C. Wathes, C.P. Ferris, C. Marchitelli, F. Signorelli, F. Napolitano, F. Becker, T. Larsen, E. Matthews, F. Carter, A. Vanlierde, G. Opsomer, N. Gengler, F. Dehareng, M.A. Crowe, K.L. Ingvartsen, and L. Foldager. 2020. Between- and within-herd variation in blood and milk biomarkers in holstein cows in early lactation. Animal 14:1067–1075. doi:10.1017/S1751731119002659.

Liseune, A., M. Salamone, D. Van den Poel, B. van Ranst, and M. Hostens. 2021. Predicting the milk yield curve of dairy cows in the subsequent lactation period using deep learning. Computers and Electronics in Agriculture 180. doi:ARTN 105904 10.1016/j.compag.2020.105904.

Liseune, A., M. Salamone, D. Van den Poel, B. Van Ranst, and M. Hostens. 2020. Leveraging latent representations for milk yield prediction and interpolation using deep learning. Computers and Electronics in Agriculture 175. doi:ARTN 105600 10.1016/j.compag.2020.105600.

Liseune, A., D. Van den Poel, B. Van Ranst, and M. Hostens. 2019. Predicting the next life event including disease by applying deep learning on sequential and pictorial data. Journal of Dairy Science 102:394–394.

Llamas-Luceno, N., M. Hostens, E. Mullaart, M. Broekhuijse, P. Lonergan, and A. Van Soom. 2020. High temperature-humidity index compromises sperm quality and fertility of holstein bulls in temperate climates. J Dairy Sci 103:9502–9514. doi:10.3168/jds.2019-18089.

Opsomer, G., M.M. Kamal, M. Van Eetvelde, L. Van Daele, and M. Hostens. 2012. Placental development in holstein cattle is correlated with dam characteristics and b-cell function of the newborn calf. Reproduction in Domestic Animals 47.

Pardon, B., B. Catry, J. Dewulf, D. Persoons, M. Hostens, K. De Bleecker, and P. Deprez. Antimicrobial and anti-inflammatory drug use in belgian white veal calves. Page 60 in 27th world buiatrics congress.

Pardon, B., J. Dewulf, M. Hostens, J. Callens, K. De Bleecker, and P. Deprez. Risk factors for mortality and reduced carcass weight in white veal calves. Pages 90–91 in 27th world buiatrics congress.

Pardon, B., S. Drabbé, M. Hostens, and P. Deprez. Postprandial glucose and insulin concentrations in belgian blue veal calves on a commercial milk powder diet. Pages 243–244 in 26th world buiatrics congress.

Pardon, B., M. Hostens, J. Dewulf, K. De Bleecker, and P. Deprez. 2012a. Impact of respiratory disease, diarrhea, otitis and arthritis on mortality and carcass traits in white veal calves (submitted).

Pardon, B., M. Hostens, L. Ribbers, K. De Bleecker, G. Opsomer, and P. Deprez. Ear vein sampling procedure with a commercial beta-hydroxybutyrate meter as a cow side test for ketosis. Page 177 in European buiatrics forum.

Pardon, B., M. Hostens, S. Stuyvaert, J. Maris, B. Sustronck, J. Dewulf, and P. Deprez. 2012b. Seroepidemiology of respiratory infections in white veal calves under antimicrobial coverage and associations with respiratory disease and carcass traits (In preparation).

Pardon, B., E. Stuyven, S. Stuyvaert, M. Hostens, J. Dewulf, B.M. Goddeeris, E. Cox, and P. Deprez. Flow cytometric and immunofluorescence staining studies on bovine neonatal pancytopenia in calves. Page 10 in 26th world buiatrics congress.

Pardon, B., E. Stuyven, S. Stuyvaert, M. Hostens, J. Dewulf, B.M. Goddeeris, E. Cox, and P. Deprez. Demonstration of alloimmune antibodies in sera from dams of calves with bovine neonatal pancytopenia. Page 100 in 6th european congress of bovine health management.

Pascottini, O.B., M. Probo, S.J. LeBlanc, G. Opsomer, and M. Hostens. 2020. Assessment of associations between transition diseases and reproductive performance of dairy cows using survival analysis and decision tree algorithms. Preventive Veterinary Medicine 176. doi:ARTN 104908 10.1016/j.prevetmed.2020.104908.

Salamone, M., I. Adriaens, A. Vervaet, G. Opsomer, H. Atashi, V. Fievez, B. Aernouts, and M. Hostens. 2022. Prediction of first test day milk yield using historical records in dairy cows. Animal 16:100658. doi:10.1016/j.animal.2022.100658.

Scheurwater, J., M. Hostens, M. Nielen, H. Heesterbeek, A. Schot, R. van Hoeij, and H. Aardema. 2021. Pressure measurement in the reticulum to detect different behaviors of healthy cows. PLoS One 16:e0254410. doi:10.1371/journal.pone.0254410.

Tobolski, D., K. Lukasik, A. Baclawska, D.J. Skarzynski, M. Hostens, and W. Baranski. 2021. Prediction of calving to conception interval length using algorithmic analysis of endometrial mRNA expression in bovine. Animals (Basel) 11. doi:10.3390/ani11010236.

Van Eetvelde, M., S. De Smet, M. Hostens, and G. Opsomer. How to measure body fat stores in high yielding dairy cows. Page 81 in European buiatrics forum.

Van Ranst, B., M. Hostens, H.J. van der Beek, and G. Opsomer. Visualization and interpretation of reproduction performance on modern dairy herds. Page 101 in 14th international conference on production diseases in farm animals. University Press.

Ververs, C., M. Hostens, T. Caluwaerts, A. de Kruif, and G. Opsomer. 2010. Is er een verband tussen het verloop van de aanvangsfase van de lactatiecurve en het optreden van de eerste oestrus post partum bij hoogproductieve melkkoeien? Vlaams Diergeneeskundig Tijdschrift 79:381–388.

Ververs, C., M. Hostens, T. Caluwaerts, and G. Opsomer. Is there an association between the start-up of the lactation curve and the moment of first heat detection in modern dairy cows. Page 22 in 14th international conference on production diseases in farm animals.

Vlaeminck, B., M. Hostens, E. Colman, S. De Campeneere, G. Opsomer, and V. Fievez. Effect of poly-unsaturated fatty acid on plasma and milk fatty acid composition in early lactating dairy cows. Pages 121–122 in ADSA-ASAS joint annual meeting.

Vlaeminck, B., M. Hostens, G. Opsomer, and V. Fievez. Delayed response of milk fatty acids to micro algae fed in early lactation. Pages 688–689 in Ruminant physiology. Wageningen Academic Publishers.

Wathes, D.C., Z. Cheng, M. Salavati, L. Buggiotti, H. Takeda, L. Tang, F. Becker, K.I. Ingvartsen, C. Ferris, M. Hostens, M.A. Crowe, and E.C. Gplus. 2021a. Relationships between metabolic profiles and gene expression in liver and leukocytes of dairy cows in early lactation. J Dairy Sci 104:3596–3616. doi:10.3168/jds.2020-19165.

Wathes, D.C., Z. Cheng, M. Salavati, L. Buggiotti, H. Takeda, L. Tang, F. Becker, K.L. Ingvartsen, C. Ferris, M. Hostens, M.A. Crowe, and E.C. Gplus. 2021b. Corrigendum to "relationships between metabolic profiles and gene expression in liver and leukocytes of dairy cows in early lactation" (j. Dairy sci. 104:3596-3616). J Dairy Sci 104:6327. doi:10.3168/jds.2021-104-5-6327.

Wullepit, N., C. Ginneberge, V. Fievez, G. Opsomer, M. Hostens, D. Fremaut, and S. De Smet. Influence of micro algae supplementation on the oxidative status of plasma in periparturient dairy cows. Pages 48–49 in 14th international conference on production diseases in farm animals.

Zare, M., H. Atashi, and M. Hostens. 2022. Genome-wide association study for lactation performance in the early and peak stages of lactation in holstein dairy cows. Animals (Basel) 12. doi:10.3390/ani12121541.