Tuong Phung

I am a first-year AI PhD student at the MIT Center for Advanced Nuclear Energy Systems (CANES), advised by Ericmoore Jossou. My research focuses on developing machine learning methods to accelerate the computational modeling and discovery of novel materials, with an emphasis on nuclear fission fuels. I am also interested in exploring how methods from statistical mechanics, information theory, and geometry can be applied to deep learning.

Previously, I earned my SB and MEng in Artificial Intelligence and Decision Making at MIT, supported by the Thomas and Stacey Siebel Foundation. During this time, I worked with Tess Smidt on spectral representations of local atomic environments and with Markus Klute on data analysis for high energy physics. I have also worked at CERN, NASA, and Harvard, applying machine learning to problems in particle physics, computer vision, and condensed matter physics.