Summary
Anthony Bao is a PhD student and graduate researcher at UT Austin specializing in generative models and dynamical systems, with a strong physics foundation from Caltech. Over a decade of research and engineering experience spans national labs and elite institutions—Argonne, CERN, JPL, Dana-Farber—where he applied machine learning to scientific problems. His work bridges theory and application, combining rigorous ECE doctoral training with hands-on ML engineering in high-stakes research environments. Active on GitHub, he leverages open development to iterate on models and reproducible experiments. Notably, his background in physics informs a principled approach to modeling dynamical systems, making him adept at translating scientific intuition into scalable ML solutions.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at The University of Texas at Austin
California Institute of Technology