William Overman
PhD, Stanford GSB
My research develops approaches to AI safety, focused on how humans can effectively oversee AI systems whose capabilities increasingly surpass their own.
I'm a Ph.D. student in Operations, Information, and Technology at Stanford Graduate School of Business, advised by Mohsen Bayati. Before Stanford, I was a visiting researcher at the Institute for Basic Science in South Korea and earned an M.Sc. in Computer Science from UC Irvine. I graduated from Caltech with a double major in Mathematics and Computer Science.
Selected Work
2026
Occupancy Prediction with Patient Data: Evaluating Time-Series, Patient-Level Aggregation, and Deep Set Models
Major revision, Manufacturing & Service Operations Management
2025
Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models
NeurIPS 2025
Can We Validate Counterfactual Estimations in the Presence of General Network Interference?
Major revision, Management Science
2024
Aligning Model Properties via Conformal Risk Control
NeurIPS 2024
2022
All papers →
News
- 2026.09 "Causal Effects with Unobserved Unit Types in Interacting Human–AI Systems" accepted to NeurIPS 2026
- 2026.09 On the 2026–2027 academic job market
- 2026.09 Stanford GSB Insights: "A Blueprint for Keeping Humans in Control of AI"
- 2026.09 Invited talk at Seoul National University: "Control of Increasingly Capable AI Systems with Safety Guarantees"
- 2026.09 Will mentor the SPAR project titled "Benchmarking When to Apply Oversight for Agentic AI"