Bowen Yu’s Homepage ✨
About me
Hello! I’m an undergraduate at MIT, Class of 2027, double-majoring in Physics (Course 8) and Artificial Intelligence (Course 6-4). Before transferring to MIT, I studied physics for a year at Peking University, which gave me a strong foundation in the field.
I’ve always been fascinated by the mysteries of the universe and by how science and technology can push the boundaries of what we know. Lately, I’ve become especially interested in the intersection of physics and AI—using machine learning to tackle open problems in many-body physics and materials science. Currently, I’m a UROP student in the MIT Quantum Measurement Group with Prof. Mingda Li, where I work on applying deep learning, reinforcement learning, and generative models to challenging problems in condensed matter physics and materials research.
Outside the lab, I enjoy long-distance running, playing ping-pong, watching movies, and reading classics. I am also a big fan of the Three-Body Problem Trilogy by Liu Cixin—a series that’s shaped the way I think about physics and the universe.
You can find my resume here. I’m always excited to connect with people who share an interest in science, technology, and discovery!
Publications
A Foundation Model for Non-Destructive Defect Identification from Vibrational Spectra
Mouyang Cheng†,* , Chu-Liang Fu†, Bowen Yu†, Eunbi Rha, Abhijatmedhi Chotrattanapituk, Douglas L Abernathy, Yongqiang Cheng, and Mingda Li*
†These authors contributed equally.
*Corresponding author.
Enhancing Materials Discovery with Valence Constrained Design in Generative Modeling
Mouyang Cheng†,* , Weiliang Luo†, Hao Tang†, Bowen Yu, Yongqiang Cheng, Weiwei Xie, Ju Li, Heather J. Kulik, and Mingda Li*
†These authors contributed equally.
*Corresponding author.