Publications

• Towards Conceptualization of “Fair Explanation”: Disparate Impacts of Anti-Asian Hate Speech Explanations on Content Moderators
  with Tin Nguyen, Aayushi Roy, Hal Daumé III, and Marine Carpuat. EMNLP 2023 – Paper Link
  • In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• Which Demographic Features Are Relevant for Individual Fairness Evaluation of U.S. Recidivism Risk Assessment Tools?
  with Tin Nguyen, Phuong-Anh Nguyen-Le, Donald Braman, Jonathan Lazar, Hal Daumé III, and Zubin Jelveh. ICAIL 2025 – Paper Link
  • In Proceedings of the 20th International Conference on Artificial Intelligence and Law
• Effort-Aware Fairness: Incorporating a Philosophy-Informed, Human-Centered Notion of Effort into Algorithmic Fairness Metrics
  with Tin Nguyen, Zora Che, Phuong-Anh Nguyen-Le, Rushil Dandamudi, Donald Braman, Furong Huang, Hal Daumé III, and Zubin Jelveh. AIES 2025 – Paper Link
  • In Proceedings of the 8th AAAI/ACM Conference on AI, Ethics, and Society (Forthcoming)

Working Papers

• Personalized Assortment Optimization for a Subscription Business Model of Experience Goods
  with Gah-Yi Ban, Wedad J. Elmaghraby, and L. Beril Toktay. Under Review at Management Science – SSRN Link
  • Finalist, INFORMS MIF Summer Webinar Competition 2024
  • Media Coverage: Imperial Business Knowledge
  • Presented at MSOM (2025), RMP (2025), INFORMS (2024), POMS (2024, 2025), and Purdue Operations Symposium (2023)
• How May U.S. Courts Scrutinize Their Recidivism Risk Assessment Tools? Contextualizing AI Fairness Criteria on a Judicial Scrutiny-Based Framework
  with Tin Nguyen, Phuong-Anh Nguyen-Le, Donald Braman, Jonathan Lazar, Hal Daumé III, and Zubin Jelveh. arXiv Link

Selected Works-In-Progress

• Words Matter! Dynamic Forecasting of Freelance Job Success Using Conversational Analytics
  with Ashish S. Kabra, Kunpeng Zhang, and Wedad J. Elmaghraby.
  • Supported by OpenAI Researcher Access Program ($1,000)
  • Supported by Smith Internal Grant ($10,000)
  • College-level winner, UMD Three-Minute Thesis (3MT) Competition 2025
• AI-Infused Nudges for Supply Chain Decision Making
  with Jane Jiang and Wedad J. Elmaghraby.
  • Supported by Faculty–Student Research Award ($15,000) from the Graduate School
• AI Self-Preferencing in Algorithmic Hiring: Empirical Evidence and Insights
  with Gujie Li and Jane Jiang.
  • Accepted at 3rd Annual Business & Generative AI Conference (AI@Wharton) 2025
  • Accepted at AIES 2025 – AAAI/ACM Conference on AI, Ethics, and Society 2025 (Acceptance rate: 239/748 = 32.0%)
  • Accepted as an oral talk at EAAMO’25 – ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization 2025 (Acceptance rate: 32/126 = 25.4%)
  • Accepted at 2025 Markets & Society Conference
  • Finalist, INFORMS MIF Summer Webinar Competition 2025
  • Supported by Institute for Humane Studies (IHS) Research Grant ($1,500).