Working papers

Why Students Reject AI for Human Counselors in College Applications: A Field Experiment
with Hemanshu Das and Sofoklis Goulas Best Doctoral Paper Presentation Award, 2025 Fisher AI in Business Conference (winner: Hemanshu Das) To Vima (Το Βήμα)

Offsetting Carbon with Lemons: Adverse Selection and Certification in the Voluntary Carbon Market
with Vahideh Manshadi and Ilan Morgenstern Extended abstract to appear in the 27th ACM Conference on Economics and Computation (ACM EC 2026) Carbon Pulse

Why the Rooney Rule Fumbles: Limitations of Interview-stage Diversity Interventions in Labor Markets
with Setareh Farajollahzadeh, Soonbong Lee, and Vahideh Manshadi
Major revision at Operations Research Extended abstract published in the 26th ACM Conference on Economics and Computation (ACM EC 2025) Presentation at the 2025 ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (ACM EAAMO 2025) Selected for MSOM Sustainable Operations SIG Day 2026

Optimal Cohort Partitions
with Sofoklis Goulas Extended abstract of an earlier version published in the 25th ACM Conference on Economics and Computation (ACM EC 2024)

Counterbalancing Learning and Strategic Incentives in Allocation Markets
with Itai Ashlagi, Jamie Kang, and Moran Koren
Major revision at Manufacturing & Service Operations Management Appeared in Advances in Neural Information Processing Systems (NeurIPS 2021)

Costly Signaling with Heterogeneous Outside Options
with Itai Ashlagi and Afshin Nikzad

Publications

Dropping Standardized Testing for Admissions Trades Off Information and Access
with Nikhil Garg and Hannah Li
Management Science
[preprint][journal][Yale Insights] ACM EAAMO 2021 Best Paper with a Student Presenter Award Winner, INFORMS DEI Best Student Paper Award 2022 Extended abstract published in the ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT 2021) Presentation at the 2021 ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (ACM EAAMO 2021) Yale Insights; VoxEU

Optimal Allocation via Waitlists: Simplicity through Information Design
with Itai Ashlagi and Afshin Nikzad
Review of Economic Studies 2025
[preprint][journal] Extended abstract published in the 22nd ACM Conference on Economics and Computation (ACM EC 2021)

Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness
with Jessie Finocchiaro, Roland Maio, Gourab K Patro, Manish Raghavan, Ana-Andreea Stoica, and Stratis Tsirtsis
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT 2021)

Online Platforms and the Fair Exposure Problem under Homophily
with Jakob Schoeffer, Alexander Ritchie, Keziah Naggita, Jessica Finocchiaro, and Marc Juarez
AAAI Conference on Artificial Intelligence (AAAI 2023)

Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design
with Itai Ashlagi
Advances in Neural Information Processing Systems (NeurIPS 2019)

Policy briefs

Declining public school enrollment
with Dylan Council and Sofoklis Goulas
Brookings Institution (August 2025) [website][pdf][Yale Insights] Yale Insights; YaleNews; The Hechinger Report; Business Insider; Oregon Public Broadcasting; Reason Magazine

Bulletins

Fairness and Equity in Resource Allocation and Decision-Making: An Annotaded Reading List
with Ana-Andreea Stoica
ACM SIGecom Exchanges 2022

Novel Practices and Highlights from the Fourth Workshop on Mechanism Design for Social Good
with Francisco J. Marmolejo-Cossio
ACM SIGAI AI Matters 2021 [AI Matters][Stanford MS&E news]