Bio
I am a computer scientist interested in building software tools that help others do ambitious work. My technical interests span compilers, hardware-software co-design, software optimization, and AI for code. At MIT’s Quantum Photonics and AI Group, I built LightCode, a compiler framework for accelerating LLM inference on photonic-electronic hardware. At the MIT-IBM Watson AI Lab, I work on AI systems for code, focusing on retrieval-augmented generation, multi-agent methods, and harness engineering for C++ performance optimization. I have also worked on the Software Controls team at MIT Motorsports, where I contributed to simulation tools.
Beyond computing, I am interested in political science, especially how policy shapes scientific progress, and I enjoy reading biographies of scientists and other influential figures. Outside of work, I like running, travel, and spending time in nature.