I'm a researcher working on privacy-preserving computation, computer architecture, and deep learning.
I received my PhD from the ECE Department at UC San Diego. Checkout my thesis: "Towards a Private New World: Algorithm, Protocol, and Hardware Co-Design for Large-Scale Secure Computation" (best Ph.D. thesis award, 2020).
I did my undergraduate studies in Electrical Engineering at Sharif University of Technology. I worked on "Steady-State Visual Evoked Potential (SSVEP)-based Brain Computer Interfaces" (best B.Sc. thesis award, 2014).
During summer 2016, I was a software developer intern at Microsoft in Azure Cloud Platform. In summer 2017, I was a Program Manager intern in Microsoft enterprise division working on Windows Defender Application Guard. In Summer 2018 and Spring 2019, I was intern at Microsoft AI & Research in Redmond Labs. My project was design and implementation of a new platform based on FPGAs for privacy-preserving computation.
Previous life: Astrophysics (Silver Medal in International Student Olympiad, 2014)