Papers
Towards Conceptualization of “Fair Explanation”: Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators Joint work with Tin Nguyen, Aayushi Roy, Hal Daumé III, and Marine Carpuat.
- In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 9696–9717, Singapore. Association for Computational Linguistics.
Personalized Assortment Optimization for a Subscription Business Model of Experience Goods Joint work with Gah-Yi Ban, Wedad J. Elmaghraby, and L. Beril Toktay.
- Finalist, INFORMS MIF Summer Webinar Competition, 2024.
- Presented at INFORMS (2024), POMS (2024), and Purdue Operations Symposium (2023). Presented by my coauthors at the Imperial President’s PhD Scholars Research Symposium 2024, NYU Stern TOPS Seminar, European TOM Seminar, NOVA University Lisbon, and Durham University.
Working Projects
Words Matter! Dynamic Forecasting of Freelance Job Success Using Conversational Analytics Joint work with Ashish S. Kabra, Kunpeng Zhang, and Wedad J. Elmaghraby.
- Presented at Purdue Operations Conference (2024), POMS (2023, 2024), INFORMS (2023), and Smith DOIT Doctoral Consortium (2023, 2024).
AI-Infused Nudges for Smarter Investing: Mitigating Herding Bias in Digital Trading Platforms Joint work with Jane Jiang and Wedad J. Elmaghraby.
- Supported by the Faculty-Student Research Award (FSRA, $15,000) from the Graduate School.
AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights Joint work with Gujie Li and Jane Jiang.
- Presented at Smith DOIT Doctoral Consortium 2025.
A Colletion of Computer Science Projects
Technical AI Fairness Criteria Might Constitutionally Apply to U.S. Recidivism Risk Assessment Tools, but How and for Whom? Joint work with Tin Nguyen, Phuong-Anh Nguyen-Le, Donald Braman, Jonathan Lazar, Hal Daumé III, and Zubin Jelveh.
- Accepted by ACM Symposium on Computer Science & Law, 2025 (WIP)
Effort-aware Fairness: It Matters How AI Decision Subjects Get There! Joint work with Tin Nguyen, Zora Che, Phuong-Anh Nguyen-Le, Donald Braman, Hal Daumé III, Furong Huang, and Zubin Jelveh.
- Accepted by ACM Symposium on Computer Science & Law, 2025 (WIP)
Bipartite Networked Multi-agent Reinforcement Learning for Decentralized Matching Markets Joint work with Yan Xu.
- Accepted by Yale 2024 Conference on AI/ML/BA.
- Presented at POMS Conference 2024, Minneapolis, MN.