About Me

I am an Assistant Professor of Operations and Decision Technologies at the Kelley School of Business. Prior to joining Kelley, I spent a year as a postdoctoral fellow at the Harvard Kennedy School. I received my Ph.D. in Industrial and Operations Engineering from the University of Michigan. Previously, I obtained an M.A. in Statistics from the University of Michigan.

I am interested in data-driven analytics to solve a wide range of problems in healthcare, service operations, and public policy.

Research & Collaborations

My current research focuses on developing machine learning, human-AI interfaces, and sequential decision-making methods to make data-driven and informed decisions for high-impact problems.

My research is motivated by real-world needs and driven by many problems with both practical impact and interesting theoretical challenges. Over the years, I have collaborated closely with healthcare practitioners and hospitals on several projects, spanning from deploying an online Bed Assignment Tool at Michigan Medicine, designing a Prediction Tool for Tracking Glaucoma Progression at Medisoft in the UK, to proposing a new Regulatory Guideline for the FDA’s Premarket Approval Pathway.

I am a research fellow at the Center for the Business of Life Sciences and a faculty affiliate at the Institute of Business Analytics at Kelley.

Selected Papers

• Harmonizing Safety and Speed: A Human-Algorithm Approach to Enhance the FDA’s Medical Device Clearance. Policy, Under Revision at Management Science.

• Data-driven Hospital Admission Control: A Learning Approach, Operations Research (2023).

• Contextual Learning with Online Convex Optimization with Applications to Medical Decision-Making, Forthcoming at Management Science.