I am a third-year Ph.D. student in the Department of Electrical and Computer Engineering at Princeton University. I am very fortunate to be advised by Prof. Benjamin Eysenbach, and I am a member of Princeton RL lab. My current research focuses on understanding and developing goal-conditioned reinforcement learning algorithms that promote effective exploration — a direction I began pursuing recently.
Prior to this, my work centered on designing machine learning algorithms for decentralized financial markets and, in general, decentralized systems. You can find a list of my publications from that line of research here. I received both my bachelor's and master's degrees in Electrical Engineering from Sharif University of Technology in Iran.
🆕 I am presenting our work on "Demystifying emergent exploration in goal-conditioned RL" in the oral session of the NY-RL workshop. This is a joint work with Grace Liu, Dilip Arumugam, Thomas L. Griffiths, and Benjamin Eysenbach
I’m helping to organize the Data on the Brain & Mind Workshop at NeurIPS 2025, connecting ML researchers with neuroscientists and cognitive scientists to tackle open problems using emerging neural datasets.