Speaker: Grzegorz Rempala, Professor, Biostatistics, OSU College of Public Health
Title: Dynamical Survival Analysis: Survival Models for Epidemic Data
Abstract: In this talk, I will provide an overview of dynamical survival analysis (DSA), a new area of research in statistics of dynamical systems which employs survival analysis techniques to construct approximate models of individual-level contagion dynamics using well-established mean-field approximations. I will discuss the connections between DSA and classical agent-based models for epidemics, as well as the application of certain types of frailty models that have proposed in the literature for analyzing COVID-19 pandemic data.
Short Bio: Grzegorz ("Greg") A. Rempala is a Polish-American applied mathematician specializing in complex stochastic systems. He earned his PhD in Statistics from Bowling Green State University and his Doctor of Science (habilitation) degree in Applied Mathematics from Warsaw Technical University. He has held academic positions at the University of Louisville and the Medical College of Georgia, as well as visiting positions at Stanford, Duke, University of Wisconsin and University of Warsaw. He is currently a professor of Biostatistics and Mathematics at The Ohio State University. His research encompasses random matrix theory, nonparametric statistics, and mathematical modeling of chemical reactions and disease transmission. In 2021, he received the University Postdoctoral Mentoring Award.
