Welcome to my homepage!

Short Bio:

My name is Parshan Pakiman. I am a Postdoctoral Principal Researcher at The University of Chicago Booth School of Business, affiliated with the Healthcare Initiative, where I have the privilege of working with Professor Dan Adelman. I earned my Ph.D. in Information and Decision Sciences from the University of Illinois Chicago. I am honored to have Professor Selva Nadarajah as my doctoral thesis advisor. Before my doctoral studies, I obtained a B.Sc. in Applied Mathematics from the School of Mathematics, Statistics, and Computer Science at the University of Tehran.



Research Interests:

1. Developing decision support for operating room scheduling by accounting for the temporal impact of decisions on costs, multiple sources of uncertainty, and competing objectives.


2. Developing general-purpose reinforcement learning algorithms that deliver computationally tractable control policies with near-optimal performance guarantees across application domains.


3. Modeling the data generation process underlying real-world business problems to design risk-aware operating policies using reinforcement learning and machine learning techniques.