Jonathan Stewart
Associate Professor
About
Jonathan Stewart, Ph.D. studies statistical models and theory for dependent data with applications to network data, and his interests lie broadly in the field of statistical network analysis. Fundamentally, he is interested in understanding how to model dependent data for complex structures in order to obtain tractable computational methods and desirable statistical guarantees and theory.
Ph.D. in statistics, Rice University, 2020
Statistical network analysis, dependent data, random graph models, statistical theory
Current Faculty