Selected Works-In-Progress

• What You Say or How You Say It? Predicting Freelance Job Success with Large Language Models
  with Ashish S. Kabra, Kunpeng Zhang, and Wedad J. Elmaghraby.
  • Supported by OpenAI Researcher Access Program (\$1,000), Smith Internal Grant (\$10,000)
  • Finalist, UMD Three-Minute Thesis (3MT) Competition 2025
• AI-Infused Nudges for Supply Chain Decision Making
  with Jane Yi Jiang and Wedad J. Elmaghraby.
  • Supported by Faculty–Student Research Award ($15,000) from the Graduate School

Working Papers

• Personalized Assortment Optimization for a Subscription Business Model of Experience Goods
  with Gah-Yi Ban, Wedad J. Elmaghraby, and L. Beril Toktay. Reject and Resubmit at Management Science – [SSRN]
  • Media Coverage: Imperial Business Knowledge
  • Presented at MSOM 2025, RMP 2025, Stitch Fix Algo Hours 2025, INFORMS 2024, POMS (2024, 2025), and Purdue Operations Conference 2023
• AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights
  with Gujie Li and Jane Yi Jiang. Under Review – [SSRN]
  • Media Coverage: The Register
  • Runner-up, Best Student Paper Award, Conference on Information Systems and Technology 2025
  • Finalist, Best Student Paper Presentation Award, Fisher AI in Business Conference 2025
  • Winner, INFORMS Minority Issues Forum Summer Webinar Competition 2025
  • Third Place, INFORMS K-12 Poster Competition 2025
  • Second Place, OR/MS Tomorrow Mini Poster Competition 2025
  • Supported by Institute for Humane Studies Research Grant (\$1,500), EAAMO’25 Travel Grant Award (\$1,050)
  • Talks & Conferences (click to expand)

    • Accepted at Business Conferences:
      • 3rd Annual Business & Generative AI Conference at Wharton
      • Inaugural Accountable AI Research Conference at Wharton
      • Inaugural AI in Business Conference at OSU
      • IDEI AI for Business Conference at HKU
      • 2025 Conference on Artificial Intelligence, Machine Learning, and Business Analytics
      • 3rd Workshop on Empirical Operations Management at NUS
      • 3rd Annual Philadelphia Operations and Technology Day
      • Conference on Information Systems and Technology 2025
      • INFORMS Workshop on Data Science 2025
      • INFORMS Workshop on Data Mining and Decision Analytics 2025
    • Accepted at Computer Science Conferences:
      • AAAI/ACM AIES 2025 (Oral presentation; 6% of 748 submissions)
      • ACM EAAMO'25 (Oral presentation; 25.4% of 126 submissions)
• How May U.S. Courts Scrutinize Their Recidivism Risk Assessment Tools? Contextualizing AI Fairness Criteria on a Judicial Scrutiny-Based Framework
  with Tin Trung Nguyen, Phuong-Anh Nguyen-Le, Donald Braman, Jonathan Lazar, Hal Daumé III, and Zubin Jelveh. – [SSRN]

Computer Science Publications

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