Micah Isaac Goldblum

Micah Isaac Goldblum

Research Interest

Micah Goldblum is an assistant professor in the Department of Electrical Engineering at Columbia University.  His research focuses on deep learning, especially on building safe AI systems and also using mathematical tools to understand how and why deep learning works.  Micah’s research portfolio includes award winning work in Bayesian inference, generalization theory, algorithmic reasoning, and AI security, privacy, and fairness. Micah’s work appears at venues like NeurIPS, ICLR, ICML, and CVPR.  In 2022, he received the ICML Outstanding Paper Award.  Before his current position, Micah was a postdoctoral research fellow at New York University with Yann LeCun and Andrew Gordon Wilson before which he received a Ph.D. in mathematics at the University of Maryland under Tom Goldstein and Wojciech Czaja.

For more information on Dr. Goldblum's work and contributions to the field, please visit his personal website, Google Scholar profile, and follow him on Twitter.