CV

This is a short overview. For the full curriculum vitae, see the PDF version.

Curriculum Vitae

For the complete curriculum vitae, see the PDF version. A list of my papers lives on the Publications page.

Education

  • University of Oxford — Ph.D. in Statistics (StatML CDT), Oxford, UK (2026–present)

  • Sharif University of Technology — B.Sc. in Electrical Engineering, Minor in Physics, Tehran, Iran (2021–2025)

  • Young Scholars Club (IPhO Training) — International Physics Olympiad Training

Awards

  • 2024 — E3 Fellowship Program (EPFL)
  • 2024 — Top 3% Academic ranking (5/184), Sharif University of Technology
  • 2021 — International Physics Olympiad (IPhO) Silver Medalist
  • 2020 — National Physics Olympiad Gold Medalist

Research Experience

  • Summer Internship, E3 Program (BIG | EPFL), Advised by Prof. Dr. Michael Unser (2024)
    • Designed 1-Lipschitz-constrained (Parseval) convolutional operators and neural networks with provable stability bounds for inverse problems
    • Introduced symmetric architectures that reduce parameters; achieved strong performance on denoising tasks
    • Under review at ICML 2026
  • Bachelor's Project — Adversarially Robust Embeddings in Contrastive Learning, Advised by Prof. Sajjad Amini (in collaboration with Prof. Moosavi-Dezfooli) (2024)
  • Study Sessions and Reading Groups
    • Causality and bandit algorithms (with BAN at EPFL)
    • Optimization on graphs and learning weights from smooth signals on Erdős–Rényi graphs
    • Designing a chatbot for our universities department with Dr. Arash Amini.
    • Exploring Tsallis-entropy–regularized MDPs for preference optimization in language models
    • Exploring applying preference optimization to consistency models, see Project repository.
    • Coordinated meetings and tracked project progress

Teaching

  • Machine Learning — Head Teaching Assistant (2025): Designing problem sets and project ; Holding practice sessions ; Managing the teaching assistant group ; course homepage: https://ml-sut-amini.github.io/
  • Deep Generative Models — Head Teaching Assistant (2025): Designing problem sets and projects ; holding practice sessions
  • Probability and Statistics — Teaching Assistant (2024, 2025): Designing projects and problem sets ; holding practice sessions
  • Deep Learning — Teaching Assistant (2024): Designing course project ; practice sessions
  • Convex Optimization — Teaching Assistant (2024): Holding practice sessions
  • Linear Algebra — Teaching Assistant (2024): Holding practice sessions
  • Engineering Mathematics — Teaching Assistant (2023): Holding practice sessions
  • Signal Processing — Teaching Assistant (2023): Holding practice sessions
  • Deep Reinforcement Learning — Course Designer (2026): Developing full course material (Spring 2026)

Recordings of my teaching sessions and technical discussions are available here.

Activities

  • Reviewer at ICLR 2026, NeurIPS 2026, ICML 2026
  • Participant in the 24th ADFOCS (Max Planck), Algorithmic Game Theory
  • Competitor in international math contests (WMTC 2016, IMC 2018, WMC 2018)
  • Physics Olympiad tutor at top high schools
  • Mentor in a research group; coordinated meetings and tracked project progress