CV

My full CV (PDF): cv_19_12_2025.pdf

Short bio

I hold a PhD in Electrical Engineering with a multidisciplinary background spanning machine learning, physics, and biological systems. My current work focuses on efficient and agentic AI—particularly reasoning, memory, and compositional generalization in large language models.

Education

• PhD, Electrical Engineering, EPFL (Lausanne, Switzerland), 2018–2022
  • Thesis: Learning of physical systems: from inference to control
  • Supervisors: Christophe Moser & Demetri Psaltis
• MSc, Electrical Engineering, Sharif University of Technology (Tehran, Iran), 2014–2016
• BSc, Electrical Engineering, University of Tehran (Tehran, Iran), 2010–2014

Experience

• Researcher, Microsoft Research (Cambridge, UK), 2022–now
  • Efficient AI for improved LLM reasoning and recall
  • Post-training and alignment, including reinforcement learning
• Visiting Researcher (Sabbatical), BethgeLab (Tübingen ELLIS & AI Center), 2025–now
  • Agentic systems, world models, and open-ended reasoning

Selected talks