Research

Data-centric foundations of trustworthy AI

My research focuses on how data shapes the reliability and behavior of AI systems. I develop methods to understand, measure, and improve data quality and its impact on learning and decision-making. My work connects data discovery, cleaning, and valuation with uncertainty, robustness, fairness, and privacy. Across predictive models, language models, and agentic systems, the goal is to identify which data matters, understand where failures come from, and make targeted improvements that lead to more trustworthy AI.

Publications

Chronological List | DBLP | Google Scholar | Semantic Scholar

Students and Advising

Postdocs

  • Romila Pradhan, HDSI, UCSD (2020-2021)
    First employment: Assistant Professor at Purdue.

PhD Students

Masters Students

  • Kaiyuan Hu, UCSD (2024-2026)
    First employment: PhD at University of Sydney.

  • Howard Wang CSE, UCSD (2024)

  • Parjanya Prashant CSE, UCSD (2024-2025)
    First employment: PhD at UCSD.

  • Haoquan Guan, UCSD (2025)
    First employment: PhD at UCSD.

  • Nimit Vasavat CSE, UCSD (2023)

  • Megha Agarwal CSE, UCSD (2022)

  • Kayvon Heravi, CSE, UCSD (2022-2024)

  • Aditya Lahiri, CSE, UCSD (2021-2023)
    First employment: AppFolio, Inc.

  • Jiongli Zhu, CSE, UCSD (2021-2022)
    First employment: PhD at UCSD.

Undergraduate Students

  • Kevin Zhang, UCSD (2025-)

  • Runjie Zhang, UCSD (2024-2025)
    First employment: Master's at UC Berkeley.

  • Grace Li, HDSI, UCSD (2023)

  • Kuangyu Zou, HDSI, UCSD (2023)

  • Yujie Zhang, HDSI, UCSD (2021-2022)
    First employment: Master's at London School of Economics and Political Science.

  • Lechuan Wang, HDSI, UCSD (2021-2022)
    First employment: Amazon.

  • Mingjia Zhu, HDSI, UCSD (2021-2022)
    First employment: Master's at UCSD.

  • Corey Cole, CSE, UW (2018)
    First employment: Kernel Labs.