About me
I am a Ph.D. student in the Electrical Engineering and Computer Science Department at MIT. I am very fortunate to be advised by Professor Patrick Jaillet in the Laboratory for Information & Decision Systems (MIT LIDS). I am also advised by Professor Gabriele Farina. My research interests broadly encompass machine learning theory, statistics, and optimization. Currently, I am focused on computational-statistical trade-offs, the understanding of overparameterized models (including non-convex optimization and generalization), learning dynamics in games and causality.
Prior to MIT, I earned a B.Sc. degree in Computer Engineering from Sharif University of Technology. During my undergrad, I was a research assistant at Max Planck Institute for Intelligent Systems (MPI-IS) under supervision of Professor Bernhard Schölkopf and Professor Stefan Bauer. Besides, I spent a couple of months working with Professor Martin Jaggi at EPFL.
Here is a link to my google scholar.
Academic Services
- Organizer for Machine Learning for Drug Discovery (MLDD) ICLR 2022 Workshop
- Organizer for GSK.ai GeneDisco Challenge for target identification in drug discovery in 2022
Teaching Experiences
- Sharif University of TechnologyTeaching Assistant
- High Dimensional Probability and StatisticsFall 2021-2022
- Robust Machine LearningFall 2020-2021
- Design of AlgorithmsFall 2019-2020 & Fall 2020-2021Head Teacher Assistant (Fall 2020-2021)
- Linear AlgebraSpring 2019-2020
- Discrete StructuresSpring 2018-2019 & Spring 2019-2020Head Teacher Assistant (Spring 2019-2020)
- Artificial IntelligenceSpring 2018-2019
- Data Structures and AlgorithmsFall 2018-2019
Leadership Roles & Activities
- Social chair of Persian Students Association at MIT
- Officer of Events committee in Ashdown House Graduate Community at MIT