Université de Montréal / Faculté de médecine vétérinaire

Julie holds a Bachelor's degree in microbiology from Laval University and a Master's degree in Veterinary Sciences, Microbiology option, from the University of Montreal. Since 2010, Julie works within the Faculty of Veterinary Medicine (FMV) of the University of Montreal. She has held various positions in two of the FMV's Research Centers, namely the Research Group on Infectious Diseases in Animal Production (GREMIP) and the Reproduction and Fertility Research Center (CRRF), but also in the of Clinical Sciences of FMV as a manager.

Since 2021, she has been the assistant to the Vice-Dean for research. In parallel with her duties at the vice-deanship, she coordinates the administrative aspects of the activities of PIAAS.

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Miguel Sautié Castellanos has more than 15 years of experience in the development of tools for the management and analysis of biological data. He works within PIAAS as a data specialist. He holds a bachelor's degree in biochemistry and two master's degrees, one in Medical Informatics and the other in Computer Science.

Expertise: Machine Learning, Spatial and Temporal Statistics, Bayesian Statistics, Computational Biology, Genetics, Software and Database Development, Optimization Algorithms.

Rezwan has a degree in computer engineering and several years of experience using Machine Learning techniques to solve problems with different data types in academia and industry. Since winter 2024, she has embarked on a journey as an M.Sc. student in Veterinary Science, focusing on an emerging field that utilizes Artificial Intelligence for animal health and welfare. At PIAAS, her research primarily focuses on using sensor data and machine learning to evaluate early disease detection to optimize broiler production and minimize antimicrobial consumption.

Dr. Jean-Pierre Lavoie is a full professor at the Faculté de médecine vétérinaire (FMV) of the Université de Montréal (UdeM) and he served, from 2018 to 2023, as Associate Dean of Research at the FMV. It is in this context that he undertook to set up PIAAS to promote the insertion of artificial intelligence in the agri-food and animal health industry and thus, contribute to improving the efficiency and competitiveness of Quebec and Canada in these fields.

After completing his doctorate in veterinary medicine and his internship at UdeM, Dr. Lavoie completed a residency and a postdoctoral fellowship at the University of California, Davis.

Expertise: equine internal medicine, asthma, equine respiratory diseases, equine model of bronchial asthma, respiratory physiology.

Dr. Majda Moussa is a professional in data science and artificial intelligence. She has a degree in computer engineering and holds a Master's and a Doctorate in Software Engineering from École Polytechnique de Montréal. She has worked in various practice settings in statistics and machine learning for the past few years. She specializes in the development and industrialization of learning models and/or data pipelines in various platforms (on site or in the cloud). She has a versatile background in information technology and is in the process of consolidating a unique experience to transpose AI technologies into practical applications in the fields of agriculture, biofood and animal health.

With a master's degree in data science for biology from the Institut Agro de Rennes, Solène joined the PIAAS team in July 2023 as a data scientist. She has 2 years' experience in data analysis applied to the agri-food sector, mainly in sensory analysis and exploratory statistics on sales data or problems linked to research and development such as experimental designs. She appreciates the 360° vision of data projects, from the gathering of requirements to the development of decision-making tools and user support. Solène also has a particular attachment to issues linked to agriculture and animal health.

Dalia, a recently graduated computer science specialist in artificial intelligence, is passionate about exploring the boundaries between technology and animal and human health. She undertakes a master's degree in bioinformatics, wishing to deepen her understanding of biological systems and their relationship with technologies. It intends to apply its AI skills to help improve the efficiency and sustainability of the agricultural industry. She is currently working on a research project that focuses on the development of a decision support system for the selection of heifers in dairy farms.