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 and service operations.

Research & Collaborations

My current research focuses on developing machine learning, optimization, 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.

My work has received several recognitions, including:

• Winner, Richard and Eleanor Towner Prize for Distinguished Academic Achievement, 2022
• Finalist, CHOM Best Paper Competition (POMS), 2022
• Winner, IOE Richard C. Wilson Prize for Best Student Paper on Service Systems, 2021
• Rackham Graduate Student Research Grant, 2021
• Finalist, Seth Bonder Scholarship, INFORMS Health Applications Society, 2020
• Second Place, INFORMS Decision Analysis Society Best Student Paper Competition, 2020