About

I am currently an assistant professor in Operations, Technology, and Information Management at the Johnson Graduate School of Management. I received my PhD from the Operations, Information, and Decisions (OID) department at the University of Pennsylvania's Wharton School, where I was advised by professor Hamsa Bastani . My research is centered around studying adaptive learning algorithms, primarily for healthcare operations. My work thus far has focused on applications to the design of clinical trials and public health intervention schemes, as well as , though it is more widely applicable to other areas as well.

My CV can be found here.

Papers

• Published
• Adaptive Clinical Trial Design with Surrogates: When Should we Bother? (with H Bastani, J Silberholz), 2021, Management Science. preprint.
• 2020 - Winner, MSOM Best Student Paper Award
• 2020 - Finalist, Public Sector Operations Research Best Paper Award
• 2019 - Winner, Pierskalla Best Paper Award
• Working Papers
• Online Learning with Survival Data (with H Bastani, J Silberholz).
• How to Choose Among Technologies With Learning Curves: Making Better Investment Decisions (with C Kaps). preprint.

Honors and Awards

• 2020 - Bonder Scholar
• 2020 - Winner, MSOM Best Student Paper Award
• 2020 - Finalist, Public Sector Operations Research Best Paper Award
• 2019 - Winner, Pierskalla Best Paper Award

Teaching

• Cornell Dyson Undergraduate Applied Economics and Management (AEM) Program
• Business Statistics (AEM 3100), 2025
• Cornell Johnson Residential MBA Program
• Data Analytics and Modeling (NCC 5010), 2024 & 2025
• Wharton MBA Program Teaching Assistant
• Operations Management: Quality and Productivity (OID 611), 2021
• Operations Strategy (OID 615), 2021
• Analytics for Revenue Management (OID 643), 2022
• Wharton Executive MBA Program Teaching Assistant Operations Strategy (OID 615), 2021
• Wharton Undergraduate Program Teaching Assistant Introduction to Management Science (OID 321), 2019, 2020, & 2023

Invited Talks

• 2024: Computing Community Consortium AI/OR Workshop III, University of Rochester OM
• 2023: Dartmouth Tuck OM, HBS TOM, Minnesota ISyE, U Toronto Rotman Young Scholar Seminar, MIT Data Science Lab, Eastern Great Lakes Analytics Conference
• 2022: Tilburg University SCM Research Seminar, UBC Sauder Operations & Logistics, UNC Kenan-Flagler Operations, London Business School Management Science & Operations, CMU Tepper OM, Cornell Johnson OTIM, BC Carroll Business Analytics, Northwestern Kellogg OM, MIT Sloan OM
• 2021: Carnegie Mellon University YinzOR Student Conference

Service

• Chair, Bonder Scholarship Award Committee.
• Member, Bonder Scholarship Award Committee, 2024.
• Judge, Pierskalla Award for Best Paper in Healthcare, 2021, 2022, 2023, 2024.
• Judge, Public Sector Operations Research Best Paper Competition, 2023, 2024.
• Organizer of Operations, Information and Decisions Doctoral Student Seminar Series, 2020-2022
• Co-Chair, Pierskalla Award for Best Paper in Healthcare, 2020.