About Me

I'm a machine learning scientist at Apple, where I lead the efforts for developing multi-modal foundation models for health; beyond production, we sometimes publish our work, you can check out few examples: ICLR'24, arXiv'24, ICML'25. My research areas of interest are deep learning, representation learning, and foundation models (pre-training & post-training).

I got my BSc from Sharif University of Technology in Electrical Engineering with a minor in Economics in 2015. After that, I received my MSc in Computer Science from University of Southern California focusing on artificial intelligence and machine learning, where I also got my PhD under the supervision of Prof. Maryam Shanechi in 2022. My research focus during PhD was developing unsupervised deep learning methods to improve brain machine interfaces and to understand the brain. I developed latent variable models for characterizing multi-modal brain data, latent variable models of time-series that enable flexible inference by combining neural networks and state space models, and artificial recurrent neural networks that recapitulate brain manifolds. In summer 2021, I was a machine learning intern at Apple, where I developed self-supervised deep learning models for signals from wearable devices.

Outside work, most of my free time is spent working out, playing/watching soccer (fellow FPL/FIFA players, we can be good friends!), traveling, or falling into 3-hour YouTube rabbit holes.