Dr. Edward Ionides

Biography

Edward Ionides is a Professor in the Department of Statistics at the University of Michigan, where he also serves as the Associate Chair for Undergraduate Studies. His research primarily focuses on stochastic dynamic models and inference using time series data, addressing complex issues in statistical theory and methodology. He has contributed significantly to the field of statistical modeling, particularly in the development of algorithms and software implementations for nonlinear, partially observed, and noisy systems as well as spatio-temporal panel data. Ionides holds a Ph.D. in Statistics from the University of California, Berkeley, and a B.A. in Mathematics from the University of Cambridge. His work intersects with applications in ecology, epidemiology, health economics, and neuroscience, particularly through the study of cell motion dynamics. He is recognized for his methodological contributions towards the inference of partially observed stochastic dynamic systems.

Research Interests