ISyE Seminar Series: Qi Luo
"Optimal Enrollment and Intervention Strategies for Patient-Centered Clinical Trials"
Qi Luo
Assistant Professor in the Department of Business Analytics
University of Iowa
About the Seminar:
Clinical trials are essential for evaluating the safety and efficacy of new drugs and treatments. Yet traditional designs often focus primarily on investigators’ objectives, with limited consideration of patient preference in enrollment and treatment choices. This talk presents a series of studies that model patient decision-making as Bayesian optimal stopping games and derive optimal intervention strategies for early-stage clinical trials.
Related Paper:
About the Speaker:
Qi Luo is an Assistant Professor in the Department of Business Analytics at the University of Iowa. His research focuses on data-driven decision-making with applications in healthcare, supply chains, and transportation systems. His work has received several research awards, including the TRB Kikuchi–Karlaftis Best Paper Award, finalist recognition for the INFORMS APS Best Student Paper, the I-Sim Best Student Paper Award, the IEEE-IV Best Paper Award (Finalist), and the IISE Best Paper Award (Work Systems Division). He serves as an Associate Editor for Transportation Science. Dr. Luo’s research is supported by multiple federal and university grants, including funding from the NSF and AFOSR.
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