Education

  • 2025–Present

    PhD, Physics

    University of Toronto and Vector Institute

  • 2023–2025

    MSc, Physics

    University of Illinois Urbana-Champaign

  • 2019–2023

    B.S., Computational Physics
    B.A., Applied Mathematics & Philosophy

    Rice University

Experience

  • 2025–Present

    Doctoral Researcher

    Berkeley Lab

    Building foundation models for scientific point clouds/graphs for High Energy Physics, Cosmology and Molecular Dynamics at NERSC.

  • Jun 2024–Aug 2026

    AI for (Geo)Physics Research Intern

    ExxonMobil, Houston, TX

    Researcher in AI applications for Geophysics. Generative Models with Physical Priors and Constraints for Imaging large 3D volumes with Seismic. Seismic Anomaly Detection.

  • 2018–2023

    Research Geophysics & Software Intern

    Petroleum GeoServices

    ML methods for first break picking, seismic anomaly detection, cloud migration.

Awards

  • 2026 NSERC Doctoral Canadian Graduate Research Scholarship (CGRS D)
  • 2025 University of Toronto Connaught International Fellow
  • 2024 1st Place Higgs Uncertainty Challenge @ NeurIPS, CERN
  • 2023 3-Year UIUC Graduate College Fellowship
  • 2016 Eagle Scout

Teaching

  • 2026 TA and Lecturer, University of Toronto - Physics 2108/2109 “The Physics of Machine Learning”
  • 2025 TA, University of Toronto - Physics 252 “Thermal Physics”
  • 2024 TA, UIUC - Physics 413 “Optics Lab”

Publications & Talks

All papers, invited talks, and posters can be found on the research page.

View Research →