
I am pursuing a B.S at Stony Brook University,double-majoring in Computer Science and Applied Mathematics & Statistics with a minor in Mathematics and planned to graduate in 2026 Spring. I had the previleage of working with Prof. Yuefan Deng and Prof. Ji Liu on some exciting research projects revolving around spectral graph design, reinforcement learning, and high-performance computing.
My research interest falls at intersection between spectral graph theory, reinforcement learning, and convex optimization. My goal is to design data-driven and provably correct solutions for network topology optimization. I am particularly interested in learning-augmented combinatorial optimization and reproducible HPC workflows.
news
| May, 2025 | Submitted BBS paper to The Journal of Supercomputing |
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| Mar, 2025 | Released GraphEvo: Open-source evolutionary framework for k-regular graph design on GitHub |
| Aug, 2023 | Started B.S. degree in Computer Science and Applied Mathematics & Statistics at Stony Brook University |