Last updated: August 2026

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Education

  • Ph.D. Candidate in Computer Science
    • Virginia Tech, Blacksburg, VA
    • Sep 2024 - Present
    • Advisor: Dr. Xuan Wang
  • M.S. in Data Analytics Engineering
    • Northeastern University, Seattle, WA
    • Sep 2021 - May 2023
  • M.S. in Actuarial Science
    • Columbia University, New York, NY
    • Sep 2019 - Dec 2020
  • B.A. in Mathematics (Minors: Statistics, Economics)
    • Rutgers University, New Brunswick, NJ
    • Sep 2015 - May 2019

Research Interests

  • LLM agents & tool use
  • Multimodal modeling
  • Causal inference
  • Trustworthy AI
  • Explainable AI

Publications

See the Publications page for the full list.

Professional Experience

  • Graduate Research Assistant
    • Virginia Tech, Blacksburg, VA
    • Sep 2024 - Present
      • Building personalized LLM agents for healthcare to improve personalization accuracy and clinical relevance.
      • Applying causal inference methodologies to AI-driven disaster forecasting models to improve prediction reliability and interpretability.
      • Investigating human-AI coupling errors to identify and mitigate systemic failure points in collaborative AI environments.
  • Teaching Assistant
    • Northeastern University, Seattle, WA
    • Sep 2023 - Dec 2023
      • Course: IE7500 Applied Natural Language Processing.
  • Insurance Linked Security Co-Op
    • Amundi US, Boston, MA
    • Jul 2022 - Dec 2022
      • Created an interactive RShiny dashboard to enable user-friendly and automated SQL database management.
  • Research Assistant
    • Columbia University, New York, NY
    • May 2020 - Dec 2020
      • Analyzed and predicted mortality data trends using queries from the SnowFlake database.
      • Developed a determination model for mortality improvement trends with smoothing and interpolation.

Research Projects

  • Survey for Validation of Explainable AI (XAI) in Clinical NLP
    • Advisor: Dr. Lucy Lu Wang
    • Jun 2023 - Mar 2024
      • Conducted a comprehensive review of XAI methods used in clinical NLP and designed a questionnaire for clinical practitioners.
      • Implemented XAI techniques, including Local Interpretable Model-Agnostic Explanations (LIME) and self-attention visualization.
      • Utilized few-shot in-context learning with the GPT API to generate free-text rationales.

Technical Skills

  • Programming & Frameworks: Python, PyTorch, R, Java
  • Database & Data Tools: SQL, data analysis toolkits