Dr. Chadi Saad-Roy - Using simple models to untangle infectious dynamics across scales скачать в хорошем качестве

Dr. Chadi Saad-Roy - Using simple models to untangle infectious dynamics across scales

Talk Title: Using simple models to untangle infectious dynamics across scales Date/Time: Thursday, November 20th, 2025 6:00pm Affiliation: Assistant Professor, Mathematics and Microbiology and Immunology, University of British Columbia Bio: Chadi Saad-Roy started in September 2025 as an Assistant Professor at the University of British Columbia, split evenly between the Department of Mathematics and the Department of Microbiology and Immunology. He is a core member of the Prepare for Pandemics through Advance Research in Evolution (PrePARE) Research Cluster at UBC, and he is a member of the Institute of Applied Mathematics and the Biodiversity Research Centre. Saad-Roy’s interdisciplinary background melds biology, mathematics, computation, and statistics. He first obtained a BSc in 2017 with an Honours in Combined Mathematics & Statistics and a Minor in Biology from the University of Victoria. He then received his PhD in Quantitative and Computational Biology from Princeton University in 2022, where he held an NSERC postgraduate award and was awarded an Honorific Charlotte Elizabeth Procter Fellowship. Following his PhD, Saad-Roy completed a Miller Fellowship at the Miller Institute for Basic Research in Science of the University of California, Berkeley. Overall, his research aims to understand cross-scale dynamics of infectious diseases through theoretical and computational approaches. Specific recent foci of research include developing new mathematical models to understand immuno-epidemiology, the feedbacks between individual decision-making and epidemic dynamics, and pathogen eco-evolutionary dynamics. Abstract: Infectious diseases are complex systems across many scales. In this talk, I will use mathematical models to investigate a range of cross-scale questions in infectious disease eco-evolutionary dynamics. I will begin by modelling the transition from pathogen emergence to endemicity, landscapes of immunity, and the effects of vaccination. I will then use mathematical models to examine pathogen evolutionary dynamics, and to study individual decision-making and its effect on epidemiological dynamics (and vice-versa). Overall, I will provide a broad overview to highlight the use of mathematical models in infectious disease ecology and evolution. —————————— Introductory Speaker: Irvin Ng (Korthauer Lab, The University of British Columbia) Talk Title: Predicting Sustained Remission and Maximal Disease Severity in Pediatric Crohn’s Disease Using Machine Learning ====== VanBUG (Vancouver Bioinformatics Users Group) is an association of researchers, other professionals and students in the B.C. Lower Mainland who have an interest in the field of bioinformatics. VanBUG meets on the third Thursday of every month from September through April. Research presentations by bioinformatics leaders, students and industry representatives are followed by networking over pizza and refreshments. Upcoming meetings will be held monthly on Thursdays from 11:00am to 1:30pm and are free and open to all. The majority of VanBUG events will now be held simultaneously at UBC's Michael Smith Laboratories and SFU's Big Data Hub. They are free and open to all.