Research

My research interests lie at the intersection of animal genomics, bioinformatics, artificial intelligence, precision livestock farming, and systems biology. Our goal is to leverage big data generated by modern animal production systems to improve animal health, welfare, productivity, and sustainability through innovative computational and sensing technologies.

Early Disease Detection in Calves

We develop artificial intelligence tools that combine feeding behavior data, novel sensors, and machine learning algorithms to detect health disorders in calves before clinical signs become visible, supporting proactive herd management and improved animal welfare.

Computer Vision for the Swine Industry

Through the Research Chair in Computer Vision Applied to the Swine Production and Processing Sector, we develop digital vision and AI technologies for automated animal monitoring, welfare assessment, phenotyping, and quality evaluation throughout the pork production chain.

Milk Spectroscopy and Predictive Analytics

In collaboration with international partners, we develop predictive models using milk mid-infrared (MIR) spectra, genomics, and production data to detect health issues, improve resilience monitoring, and predict milk processing and technological properties.

Chronobiology and Dairy Science

Our chronobiology research investigates the interactions between the circadian clock and the cell cycle in dairy species to better understand how biological rhythms influence mammary function, metabolism, health, and productivity.

Dairy Sheep Mammary Gland Phenotyping

We study mammary gland conformation in dairy sheep using imaging, phenotyping, and quantitative genetics to improve udder health, milking efficiency, longevity, and sustainability.

We have broad interests in artificial intelligence, computer vision, genomics, big data analytics, precision livestock farming, chronobiology, systems biology, and quantitative genetics.

The laboratory is a member of the Op+Lait FRQNT research network and collaborates with national and international academic and industry partners through projects funded by NSERC and other funding agencies and funds from MAPAQ