Background
Academic
My education, research experience, and selected distinctions.
Education
- 2025 — 2028CurrentDoctoral studies
PhD in Computer Science
Sorbonne University
Based at EPITA Research Laboratory. Supervised by Prof. Eric Moulines and Prof. Alain Durmus.
Paris, France - 2024 — 2025Graduate studies
MSc in Electrical Engineering
Institut Polytechnique de Paris
Machine Learning & Communications.
Palaiseau, France
École Polytechnique · Télécom Paris.
Master’s thesis supervised by Prof. Eric Moulines. - 2020 — 2024Undergraduate studies
BSc in Electrical Engineering
Sharif University of Technology
GPA 19.33/20. Ranked 1st among 140 students in the Electrical Engineering Department, for four consecutive years.
Tehran, Iran
Research experience
Working across inference, learning, and applications.
- MAR — SEP 2025Research internship
CMAP, École Polytechnique
Bayesian inverse problems, diffusion priors, posterior sampling, and training-free guidance. Worked on Inductive Moment Matching for efficient few-step generation.
Supervised by Prof. Eric Moulines and Dr. Yazid Janati.
Palaiseau, France - SEP 2023 — MAR 2024Research internship
Sharif University of Technology
Developed fast, context-aware audio annotation and classification methods for few-shot learning with limited labeled data.
Extracted acoustic features and evaluated classifiers for high-speed audio classification.
Tehran, Iran - JUN — SEP 2023Research internship
Computer vision for site safety
Applied YOLO-v7 and deep learning to construction-site safety monitoring, detecting danger zones, warning cones, and protective equipment.
Research internship at a startup.
Tehran, Iran
Honors and awards
French Government Scholarship
Bourse du Gouvernement Français.
CMU Dean’s Fellowship
Carnegie Mellon Institute of Technology, Electrical & Computer Engineering.
UC San Diego Department Fellowship
University of California San Diego, Electrical & Computer Engineering.
Outstanding Student Award
Sharif University of Technology. Ranked first for four consecutive undergraduate years.
Workshops and schools
MBZUAI Winter School
Representation Learning & Generative AI
Selected among 60 participants from 2,400 applications.
Academic service
Reviewer · ICLR 2026
Research toolkit
Python · PyTorch · Hydra · Weights & Biases · Slurm · Multi-GPU training