People

Dan Waxman

Postdoctoral Fellow, Basis

Dan Waxman is a postdoctoral fellow at Basis, supervised by Matt Levine at Basis and Youssef Marzouk at MIT. His interests include probabilistic machine learning and causal inference, broadly interpreted, with a particular focus on sequential inference and dynamical systems. He completed his PhD in Electrical Engineering at Stony Brook University, where his dissertation addressed sequential Bayesian inference for online ensembles, decentralized learning, and scalable experimental design.