About Me

I am a 5th year Ph.D. Candidate in Electrical Engineering and Computer Science at MIT CSAIL. I work in the Julia Lab under the supervision of Dr. Alan Edelman and Dr. Christopher Rackauckas. My research interests are in the intersection of AI compilers and AI for science, where I focus on performance optimizations for neural network training and inference in the context of scientific computing. For some representative examples of my work, see Publications and Presentations.
News
Experience
Current Position
Education
Past Positions
Summer '25 | Student Researcher, XLA:TPU Optimizations | Google Cloud | New York City, NY |
Summer '24 | Graduate Research Intern, Parallel Computing Lab | Intel Parallel Computing Labs | Santa Clara, CA |
Summer '22 | Student Researcher | Google AI | Mountain View, CA |
Jan - July '21 | Engineering Simulation Intern | Julia Computing | Remote |
Jan - Nov '20 | Research Intern | Vector Institute | Toronto, CAN |
Summer '18, '19 | Google Summer of Code Participant | JuliaLang Organization | Remote |
Summer '18 | Software Engineering Intern | IIT Kanpur NYO Office | Kanpur, IND |
Publications
My research interests are in the intersection of AI compilers and AI for science, where I focus on performance optimizations for neural network training and inference in the context of scientific computing. Occasionally, I explore domains outside my major area of focus and have published a few works in (Multi-Agent) Reinforcement Learning, Differentiable Graphics, etc.