About Me

I'm a Graduate Research Assistant at MIT advised by Profs. Vivienne Sze and Joel Emer in the EEMS group. I research the design and modeling of accelerators for tensor applications and machine learning, focusing on novel analog and processing-in-memory systems.

I've held internship positions in embedded software at Eaton Corporation and hardware at Qualcomm Technologies, Inc. My research experience spans math, scientific simulation, and AI (Reinforcement learning, computer vision, and SLAM), while my portfolio is full of RTL hardware design, compiler, networking, and machine learning projects. I've also worked as an Undergraduate Teaching Assistant for Purdue ECE 50863-EDX, where we've set up new projects and coursework based on cutting-edge network research.

If you'd like to chat, contact me here!