Robust Inference for High-Dimensional Linear Models via Residual Randomization
Sam Wang is currently an assistant professor at Cornell University. He was a post-doc at the University of Chicago Booth School of Business advised by Mladen Kolar. His theoretical and methodological research interests are focused on causal discovery, graphical models, and high-dimensional statistical methods; his applied research interests lie in the social sciences. He completed his PhD in 2018 at the University of Washington advised by Mathias Drton and received his undergraduate degree from Rice University. Prior to embarking on his PhD studies, he worked in management consulting.
Panagiotis (Panos) Toulis studies causal inference in complex settings (e.g., networks) using methods of structured inference, such as permutation tests. He is also interested in the interface of statistics and optimization, particularly in inference problems on large data sets through stochastic gradient descent.
