AI Alignment

William Overman

PhD at Stanford

RL

About

I’m a PhD student at Stanford advised by Mohsen Bayati. I’m passionate about AI safety and alignment, especially obtaining results with provable guarantees. My research also spans reinforcement learning, causal inference, and black-box uncertainty quantification, with particular interest in how each might intersect with AI alignment.

Education

2022 — Now

Ph.D. at Stanford

Graduate School of Business, Operations, Information, and Technology

2020 — 2022

M.S. at UC Irvine

Computer Science

2016 — 2020

B.S. at Caltech

Mathematics and Computer Science

Selected Papers

2024

Aligning Model Properties via Conformal Risk Control

W. Overman, J.J. Vallon, M. Bayati

NeurIPS 2024

AI Alignment

2022

Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games

S. Leonardos, W. Overman,

I. Panageas, G.Piliouras

ICLR 2022

RL

2025

Can We Validate Counterfactual Estimations in the Presence of General Network Interference?

S. Shirani, Y. Luo, W. Overman, R. Xiong, M. Bayati

Preprint

Causal Inference

2024

Higher-Order Causal Message Passing for Experimentation with Complex Interference

M. Bayati, Y. Luo, W. Overman, S. Shirani, R. Xiong

NeurIPS 2024

Causal Inference

Industry Experience

2025 —

AI Consultant

Jingo (pre-seed startup)

2023 —

PhD Scientist Intern

Uber

Links

Google Scholar

my page

Email

wpo[at]stanford[dot]edu

AI Alignment

William Overman

PhD at Stanford

Reinforcement Learning

About

I’m a PhD student at Stanford advised by Mohsen Bayati. I’m passionate about AI safety and alignment, especially obtaining results with provable guarantees. My research also spans reinforcement learning, causal inference, and black-box uncertainty quantification, with particular interest in how each might intersect with AI alignment.

Education

2022 — Now

Ph.D. at Stanford

Graduate School of Business, Operations, Information, and Technology

2020 — 2022

M.S. at UC Irvine

Computer Science

2016 — 2020

B.S. at Caltech

Mathematics and Computer Science

Selected Papers

2024

Aligning Model Properties via Conformal Risk Control

W. Overman, J.J. Vallon, M. Bayati

NeurIPS 2024

AI Alignment

2022

Global Convergence of Multi-Agent Policy Gradient in

Markov Potential Games

S. Leonardos, W. Overman, I. Panageas, G. Piliouras

ICLR 2022

Reinforcement Learning

2025

Can We Validate Counterfactual Estimations in the Presence of

General Network Interference?

S. Shirani, Y. Luo, W. Overman, R. Xiong, M. Bayati

Preprint

Causal Inference

2024

Higher-Order Causal Message Passing for Experimentation with

Complex Interference

M. Bayati, Y. Luo, W. Overman, S. Shirani, R. Xiong

NeurIPS 2024

Causal Inference

Industry Experience

2025 —

AI Consultant

Jingo (pre-seed startup)

2023 —

PhD Scientist Intern

Uber

Links

Google Scholar

my page

Email

wpo [at] stanford [dot] edu

CV

available upon request