Publication
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.
Which Demographic Features Are Relevant for Individual Fairness Evaluation of U.S. Recidivism Risk Assessment Tools? Joint work with Tin Nguyen, Phuong-Anh Nguyen-Le, Donald Braman, Jonathan Lazar, Hal Daumé III, and Zubin Jelveh.
- In Proceedings of the 20th International Conference on Artificial Intelligence and Law (ICAIL 2025).
Working Papers
Personalized Assortment Optimization for a Subscription Business Model of Experience Goods Joint work with Gah-Yi Ban, Wedad J. Elmaghraby, and L. Beril Toktay. Under Review
- Finalist, INFORMS MIF Summer Webinar Competition, 2024.
- Media Coverage: Imperial Business Knowledge
- Presented at INFORMS (2024), POMS (2024, 2025), and Purdue Operations Symposium (2023).
- Scheduled to present at MSOM 2025.
Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics Joint work with Tin Nguyen, Zora Che, Phuong-Anh Nguyen-Le, Rushil Dandamudi, Donald Braman, Furong Huang, Hal Daumé III, and Zubin Jelveh. Under Review
- Accepted by ACM Symposium on Computer Science & Law, 2025 (WIP).
How May U.S. Courts Scrutinize Their Recidivism Risk Assessment Tools? Contextualizing AI Fairness Criteria on a Judicial Scrutiny-based Framework Joint work with Tin Nguyen, Phuong-Anh Nguyen-Le, Donald Braman, Jonathan Lazar, Hal Daumé III, and Zubin Jelveh. Under Review
Selected Works-In-Progress
Words Matter! Dynamic Forecasting of Freelance Job Success Using Conversational Analytics Joint work with Ashish S. Kabra, Kunpeng Zhang, and Wedad J. Elmaghraby.
- Supported by the Smith Internal Grant ($10,000).
- College-Level Winner, UMD Three-Minute Thesis (3MT) Competition 2025.
- Presented at Purdue Operations Conference (2024), POMS (2023, 2024), INFORMS (2023), and Smith DOIT Doctoral Consortium (2023, 2024).
AI-Infused Nudges for Supply Chain Decision Making 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. Under Review
- Presented at Smith DOIT Doctoral Consortium 2025, POMS (2025).