Experience & Education

  • Machine Learning Engineer
    Meta – Superintelligence Lab
    Bellevue, WA, USA • 2024 – present
    • Work on safety and alignment of large language models.
    • Improve reliability via training signals, safety evaluations, and behavior analysis.
  • Co-founder & ML Researcher
    Variational AI
    Vancouver, BC, Canada • 2019 – 2024
    • Built generative models (VAEs, diffusion) for de novo drug design.
    • Developed pipelines to explore chemical space and propose drug-like molecules.
  • Ph.D., Computing Science
    Simon Fraser University
    Burnaby, BC, Canada
    • Research in machine learning and computer vision.
    • Supervisor: Prof. Greg Mori.
    Internships and visiting research during my PhD:
    • Research Intern, Google
      Seattle, WA, USA • Fall 2018 • Mentors: Aseem Agarwala, Raviteja Vemulapalli
    • Research Intern, D-Wave Systems
      Burnaby, BC, Canada • Spring 2018 • Mentors: Arash Vahdat, Mani Ranjbar
    • Research Intern, Microsoft
      Redmond, WA, USA • Summer 2017 • Mentor: Hamid Vaezi Joze
    • Research Intern / Visiting Researcher, NII
      National Institute of Informatics, Tokyo, Japan • 2015–2016 • Supervisor: Prof. Shin'ichi Satoh
  • M.Sc., Computing Science
    Simon Fraser University
    Burnaby, BC, Canada
    • Graduate studies in computer vision and machine learning.
  • B.Sc., Computer Engineering
    Sharif University of Technology
    Tehran, Iran
    • Undergraduate studies in computer engineering and hardware.