Kirill Nagaitsev

I am a computer science Ph.D. candidate and DOE CSGF fellow at Northwestern University, advised by Peter Dinda as part of the Prescience Lab. My research focuses on improving the efficiency and effectiveness of LLM-driven computational kernel optimization for ML workloads. In particular, I am interested in maximizing the cost-effectiveness of the search process at low budgets, harnessing the strengths of classical techniques such as ML compilers and autotuners to reduce LLM inference costs, and providing strong correctness guarantees for optimized kernels.

I received my undergraduate degree in computer science from University of Chicago, where I was advised by Ian Foster and Kyle Chard as part of Globus Labs. While there, I was involved in FaaS (function-as-a-service) research, and I helped develop the Globus Compute platform (previously known as funcX).

I’m a big advocate of open-source software, with substantial contributions to the widely used webpack-dev-server (10M+ weekly downloads on npm). I started contributing as part of the webpack GSoC (Google Summer of Code) program in 2019, and later worked as a freelance webpack-dev-server maintainer.

In my free time, I enjoy game development, and have published a number of popular multiplayer games [Oldwest.io, Cavegame.io, MineRoyale.io]. I’m also generally interested in operating systems, networking, and system security outside of my normal research. You can read more about my work and other miscellaneous interests on my blog!

Publications

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