Published research across multiple years (2008–2025)
Supervised PhD thesis defense by Nick Link in July 2025 on 'Bayesian and spatiotemporal methods for infectious disease and population health data'
Postdoc Binod Pant elected Co-chair of the Mathematical Epidemiology Subgroup of the Society for Mathematical Biology (SMB) in 2025
Will co-teach a module on 'Statistics and Modeling with Novel Data Streams' at SISMID, Emory University, July 2025
Team member Binod Pant to present on human behavior modeling and SARS-CoV-2 transmission at SMB 2025 in Edmonton
Background
Professor of Physics and Electrical and Computer Engineering
Research interests include Digital Epidemiology, Pandemic Preparedness, Improvement of Patient Care and Hospital Resource Allocation, Climate and Health, Monitoring Human Behavioral Changes during COVID-19, Computational Fluid Dynamics (shallow water modeling), Global Atmospheric Chemistry, and Widely Applied Mathematics
Develops machine intelligence analytics tools to predict unobserved events in epidemiology and healthcare
Uses big data from internet-based sources (e.g., Google search, Twitter, weather, human mobility, EHRs) to track global disease outbreaks
Focuses on bedside patient-centered monitoring to improve clinical care
Applies mathematical approaches to uncover relationships in health, physical, and environmental sciences—e.g., climate change impacts on antibiotic resistance and socio-political factors influencing COVID-19 mortality