Bryce Gayan is an undergraduate majoring in Computer Science and minoring in Chinese Language. He interned at GE Vernova, where he applied machine learning to accelerate security constrained unit commitment for energy markets. His current work compares the efficacy of tabular and graph learning methods for accelerating unit commitment across grid sizes. Previously, Bryce published research for Princeton's baseball analytics group, and his academic interests span machine learning, algorithms, computer architecture, and robotics. Bryce plays varsity baseball at Princeton and is an avid enjoyer of rock climbing, hiking, billiards, spike ball, and Catan.