Scholar
Stephen Bates
Google Scholar ID: LeshmV8AAAAJ
Assistant Professor, MIT EECS
Citations & Impact
Citations
4,885
H-index
27
i10-index
30
Publications
20
Co-authors
43
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers on handling uncertainty in AI systems.
Research Experience
- Currently, I am an Assistant Professor in the MIT EECS department, focusing on research themes such as Uncertainty and statistical inference with AI systems, Statistical foundations for agents, and Shifting distributions and feedback loops.
Education
- Completed my Ph.D. in the Stanford Department of Statistics advised by Emmanuel Candès, where I was awarded the Theodore W. Anderson Theory of Statistics Dissertation Award. Previously, I was a postdoctoral researcher with Michael I. Jordan in the UC Berkeley Statistics and EECS departments. Before my Ph.D., I studied statistics and mathematics at Harvard University, and spent a year teaching mathematics at NYU Shanghai.
Background
- I'm an Assistant Professor of AI and Decision-making in the MIT EECS department. I work to understand uncertainty and reliable decision-making with data. In particular, I develop tools for statistical inference with AI models, data impacted by strategic behavior, and settings with distribution shift. In addition, I work on applications in the life sciences and sustainability.
Miscellany
- Outside research, I enjoy triathlons, sailing, hiking, and reading speculative fiction novels.
