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Nonidentifiability in data-driven parameter estimation

Nonidentifiability in data-driven parameter estimation

Speaker: Dr. Michael Li Department of Mathematics, University of Alberta

Michael Li is a Professor of Mathematics at the University of Alberta. His research interests/expertise are in the theory/applications of mathematical modeling of infectious diseases in general, and of HIV, influenza and TB in particular, and modeling of viral-immune response dynamics to viral infections including HIV-1 and HTLV-1. Professor Li obtained his PhD in Applied Mathematics at the University of Alberta and did his postdoctoral training at the U de Montreal and Georgia Institute of Technology. He has been a faculty member at the U of Alberta since 2000, where he actively collaborates with research groups in the Faculty of Medicine, and the Alberta Ministry of Health on modeling research in health and public health sciences.

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