Mohamad Sadegh Shirani Faradonbeh
PhD Student, Operations, Information & Technology
PhD Program Office
Graduate School of Business Stanford University
655 Knight Way
Stanford, CA 94305
Mohamad Sadegh Shirani Faradonbeh
I am a second-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
Publications
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
*Runner-up, 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