Jaeha Lee

Jaeha Lee is a skilled researcher and engineer with a strong background in physics and machine learning. Jaeha's experience includes research internships at Seoul National University and Hanyang University, focusing on high-energy physics and thermodynamics of black holes. As a PhD researcher at Caltech, Jaeha applied thermal effective Lagrangian methods to develop universal formulas for conformal field theories in high-energy regimes. Jaeha also interned at Morph Labs, utilizing reinforcement learning to enhance language models. Currently, Jaeha serves as a Physical Design Engineer for Machine Learning at Apple, building on a robust educational foundation with a PhD in Physics from Caltech and a Bachelor's degree from Seoul National University.