Sadegh Shirani

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

Sadegh Shirani

I am a third-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

Research Interests

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


with M. K. S. Faradonbeh, Proceedings of Thirty Sixth Conference on Learning Theory (COLT), PMLR 195:612-656, 2023.

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

with M. K. S. Faradonbeh and M. Bayati, Neural Information Processing Systems (NeurIPS), 2022.

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

with M. K. S. Faradonbeh, IFAC International Workshop on Adaptive and Learning Control Systems (ALCOS) 2022

with M. Ameli, JP. Lebacque, H. Abouee-Mehrizi, L. Leclercq, TRB 2021, Transportation Research Board 100th Annual Meeting-A Virtual Event