Peter Y. Lu
Scholar

Peter Y. Lu

Google Scholar ID: g6PnqoYAAAAJ
Tufts University
Computational physicsScientific machine learningNonlinear dynamicsQuantum systems
Citations & Impact
All-time
Citations
612
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • Recognized as a 2024 Rising Star in Data Science by the University of California San Diego, the University of Chicago, and Stanford University; Mentor of the Year for the University of Chicago Data Science Clinic in 2024; Joined the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI) as an Affiliate member in 2025.
Research Experience
  • Before joining Tufts, he was an Eric and Wendy Schmidt AI in Science Fellow at the University of Chicago.
Education
  • Received an A.B. in Physics and Mathematics from Harvard in 2016 and a Ph.D. in Physics from MIT in 2022, advised by Prof. Marin Soljačić.
Background
  • Research interests include physics-informed machine learning, interpretable representation learning, and scientific generative modeling with applications to nonlinear dynamics and chaos, interacting quantum systems, materials science, fluid turbulence, and other areas.
Miscellany
  • If you are an undergraduate, prospective graduate student, or prospective postdoc excited about physics and machine learning, feel free to send him an email!