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.

  • 2024–2025

    Research Geophysicist Intern

    ExxonMobil

    ML parameter estimation methods for 3D seismic inversion. Novel ML anomaly detection tools for 4D Seismic.

  • 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 →