Sadegh Shirani

Mohamad Sadegh Shirani Faradonbeh
PhD Student, Operations, Information & Technology
Personal Webpage LinkedIn Google Scholar
PhD Program Office Graduate School of Business Stanford University 655 Knight Way Stanford, CA 94305

Sadegh Shirani

I am a fourth-year Ph.D. student in Operations, Information, and Technology (OIT) at Stanford GSB. My research interest revolves around causal inference and reinforcement learning, particularly in the context of designing experiments in the presence of complex network interference effects.

Faculty Advisors

Mohsen Bayati

Research Interests

  • Causal inference
  • High dimensional statistics
  • Reinforcement learning
  • Stochastic control

Publications

Causal Message Passing for Experiments with Unknown and General Network Interference
with M. Bayati, Proceedings of the National Academy of Sciences (PNAS), 2024

Higher-Order Causal Message Passing for Experimentation Under Unknown Interference
with M. Bayati, Yuwei Luo, William Overman, Ruoxuan Xiong, Neural Information Processing Systems (NeurIPS), 2024.

Online Reinforcement Learning in Stochastic Continuous-Time Systems
with M. K. S. Faradonbeh, Proceedings of Thirty Sixth Conference on Learning Theory (COLT), PMLR 195:612-656, 2023.

Asymptotic Analysis of Multi-Class Advance Patient Scheduling
with H. Abouee-Mehrizi and M. K. S. Faradonbeh, Submitted

*Second place, INFORMS Health Applications Society (HAS) 2023 Best Student Paper Competition **MSOM Healthcare SIG 2023, and ***Finalist, CORS 2022 Student Paper Award

Thompson Sampling Efficiently Learns to Control Diffusion Processes
with M. K. S. Faradonbeh and M. Bayati, Neural Information Processing Systems (NeurIPS), 2022.

Departure Time Choice Models in Urban Transportation Systems Based on Mean Field Games
with M. Ameli, JP Lebacque, H. Abouee-Mehrizi, L. Leclercq, Transportation Science 56(6):1483-1504, 2022.

*TSL Urban Transportation SIG Best Paper Award 2022

Bayesian Algorithms Learn to Stabilize Unknown Continuous-Time Systems
with M. K. S. Faradonbeh, IFAC International Workshop on Adaptive and Learning Control Systems (ALCOS) 2022

Mean Field Games Framework to Departure Time Choice Equilibrium in Urban Traffic Networks
with M. Ameli, JP. Lebacque, H. Abouee-Mehrizi, L. Leclercq, TRB 2021, Transportation Research Board 100th Annual Meeting-A Virtual Event