cv

Please check my LinkedIn page for updated CV.

Education

  • Sep. 2022 - Present
    Ph.D. in Computer Science
    University of Toronto, Canada
  • Sep. 2019 - Jun. 2023
    Master of Math, Computer Science
    University of Waterloo, Canada
  • Sep. 2015 - Mar. 2019
    Bachelor of Science
    Union College, Schenectady, NY, USA

Experience

  • May. 2026 - Aug. 2026
    Research Intern
    Google Research, Health AI
    • Develop personalized insights and evidence (PIE) agent for medical inquiries, leveraging large language models and multimodal data to provide personalized medical insights and recommendations.
  • May. 2025 - Aug. 2025
    Research Intern
    Google Research, Health AI
    • Developed ambient evidence-based medical agent for primary care physicians, leveraging large language models and real-world patient-clinician data to provide real-time clinical decision support during patient visits.
  • May. 2025 - Sept. 2024
    Research Intern
    Recursion Pharmaceuticals; Valence Labs
    • Explored algorithms to associate unpaired biologicial data (e.g., single-cell RNA-seq and cellular imaging data).

Professional Services

  • Conference Paper Reviewer: NeurIPS (2024, 2025), ICML (2024, 2025, 2026), ICLR (2025, 2026), ML4H (2023, 2024, 2025).
  • Teaching Assistant:
    • Deep Learning, University of Toronto (Winter 2025)