Stephen Bates

Stephen Bates is an Assistant Professor of AI and Decision-making in the MIT EECS department, specializing in statistical inference for AI systems, foundations of decision-making with data, and approaches to distribution shift. He directs the Quantum Nanostructures and Nanofabrication Group focusing on nanoscale device physics.

His research develops statistical tools for:

• Uncertainty quantification in deep learning systems
• Inference with strategic agents and game-theoretic settings
• Non-IID data environments with feedback loops

with applications in life sciences and sustainability.

Education includes:

• PhD in Statistics from Stanford University
• Postdoctoral research at UC Berkeley
• BS in Electrical Engineering/Physics from Missouri S&T

Awards: Theodore W. Anderson Dissertation Award. Currently teaching Modern Mathematical Statistics and organizing ICLR/NeurIPS workshops on reliable AI.