Hemanshu Das
Hemanshu Das
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PhD Candidate, Operations, Yale University (School of Management)
Email: hemanshu.das@yale.edu
I am a PhD candidate in Operations at the Yale School of Management, where I am fortunate to be advised by Professor Edieal Pinker and Professor Faidra Monachou .
I study operations for public policy, with a specific focus on education. I use data-driven models and field experiments to improve student learning by rethinking how we support students, teachers, and educational platforms. My work spans AI-based algorithmic advising, teacher workforce design, and personalized learning, and has been recognized with the 2025 Duolingo Dissertation Research Award.
Prior to Yale, I was a predoctoral fellow at Indian School of Business and advised by Professor Sarang Deo. I hold an MBA from Indian Institute of Management Ahmedabad and a B.Tech in Electronics and Communication from Vellore Institute of Technology.
Upcoming Talks
Upcoming Talks
Why Students Reject AI for Human Counselors in College Applications: A Field Experiment
September 25, 2025 || Wharton Empirical Operations Management Workshop, Philadelphia
October 2, 2025 || AI in Business Conference, Columbus (Ohio) || Finalist, Best PhD Student Paper
October 25, 2025 || 2025 INFORMS Workshop on Data Science, Atlanta
October 26, 11:36 AM || 2025 INFORMS Annual Conference, Atlanta || Recommendations, Fairness and Human-AI Interaction Session
Working Papers
Working Papers
A Cost-Benefit Analysis of Teacher Evaluation Programs, with Edi Pinker
Status: Major Revision at Manufacturing & Service Operations Management, 2025
Why Students Reject AI for Human Counselors in College Applications: A Field Experiment, with Sofoklis Goulas and Faidra Monachou
Job Market Paper
Optimal Stopping for Personalized Learning: A Weitzman-Based Approach to Adaptive Task Sequencing, with Faidra Monachou
Status: Work in progress; Winner of a 2025 Duolingo Dissertation Research Award
Effect of event duration vs. crowding at essential gatherings on spread of COVID19: a modelling study with Sarang Deo, Sripad Devalkar and Nim Pathy
Status: Draft available upon request
Publications
Publications
Das, H., Sachdeva, A., ... & Deo, S. (2023). Outcomes of a hypertension care program based on task-sharing with private pharmacies: a retrospective study from two blocks in rural India. Journal of Human Hypertension
Das, H., Moran, A.E., ... & Deo, S. (2021). Cost effectiveness of improved hypertension management in India through increased treatment coverage and adherence: a mathematical modeling study. Global Heart
Mandal, S., Das, H., Deo, S., & Arinaminpathy, N. (2021). Combining serology with case-detection, to allow the easing of restrictions against SARS-CoV-2: a modelling-based study in India. Nature Scientific Reports
Previous Talks
Previous Talks
Why Students Reject AI for Human Counselors in College Applications: A Field Experiment, with Sofoklis Goulas and Faidra Monachou
Previously Titled: Students Choose Human Counselors over Algorithms in College Applications, but Not Always
2025 INFORMS Revenue Management and Pricing Section Conference, New York City
2025 MSOM Conference, London
2025 Marketplace Innovation Workshop (online)
2025 POMS Conference, Atlanta
2025 Michigan Ross Workshop on Unstructured Data, Ann Arbor*
A Cost-Benefit Analysis of Teacher Evaluation Programs, with Edi Pinker
2025 MSOM Conference, London
2024 INFORMS Annual Conference, Seattle
2023 INFORMS Annual Conference, Phoenix
Effect of event duration vs. crowding at essential gatherings on spread of COVID19: a modelling study with Sarang Deo, Sripad Devalkar and Nim Pathy
2021 INFORMS Annual Conference (online)
2021 MSOM Conference (online)*, 2021 POMS Conference (online)*
* Presented by co-authors
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