Peter Lu

Peter Y. Lu is a Visiting Assistant Professor in the Department of Electrical and Computer Engineering at Tufts University. His work bridges applied physics and machine learning, focusing on physics-informed models for complex systems. Prior to Tufts, he was an Eric and Wendy Schmidt AI in Science Postdoctoral Fellow at the University of Chicago. He holds a Ph.D. in Physics from MIT (2022) and an A.B. in Physics and Mathematics from Harvard (2016). His research emphasizes developing machine learning methods that incorporate physical constraints, with applications to quantum physics, fluid dynamics, and dynamical systems.

Education:

• A.B. in Physics and Mathematics, Harvard University, 2016
• Ph.D. in Physics, Massachusetts Institute of Technology, 2022

Research Interests: Peter’s work centers on advancing physics-informed machine learning to uncover physical features in complex systems. He explores how representational learning can model dynamical systems, quantum phenomena, and fluid dynamics while integrating physical laws. His methods aim to enhance interpretability and predictive accuracy in scientific domains.

Awards and Recognition:

• Recognized as a 'Rising Star in Data Science' by UC San Diego, University of Chicago, and Stanford (2024)
• Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship (University of Chicago)
• NDSEG Fellowship (MIT, 2016–2020)

Advising and Grants: While specific grants or advising records are not detailed here, his postdoctoral and fellowship histories suggest sustained support for collaborative and foundational research in AI-driven physics. No lab or team affiliations are explicitly mentioned in the text.