Peter Lu
Assistant Professor, Electrical And Computer Engineering at Tufts University
Medford, Massachusetts, United States
Summary
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Senior🎓
Top SchoolPeter Lu is an Assistant Professor of Electrical and Computer Engineering at Tufts and a machine learning researcher who bridges physics and ML to develop foundational methods for modeling complex systems. With a PhD in Physics from MIT and nine years of experience spanning a Schmidt AI in Science fellowship and postdoctoral work at the University of Chicago, he blends deep theoretical training with applied data science. His research focuses on interpretable, physics-informed ML that helps uncover structure in scientific data rather than treating it as a black box. Peter’s background in both rigorous physics and modern ML enables him to translate domain knowledge into models that generalize across scientific problems. Based in Medford, MA, he is notable for moving between academic rigor and practical tooling, often emphasizing principled uncertainty quantification and model interpretability.
8 years of coding experience
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Massachusetts Institute of TechnologyBachelor of Arts - BA Physics and Mathematics, Bachelor of Arts - BA Physics and Mathematics at Harvard UniversityIllinois Mathematics and Science Academy
Github Skills (17)
jupyter-notebook6
sequence6
sbml6
automator5
stochastic-processes5
data-format5
dynamical-systems5
python5
jupyter4
ode4
fluid-dynamics4
snl-applications4
unicode4
computational-fluid-dynamics4
partial-differential-equations3
Programming languages (2)
Github contributions (5)
peterparity/symder
Jan 2021 - Aug 2022
Contributions:9 commits, 1 push, 1 comment in 1 year 6 months
peterparity/PDE-VAE-pytorch
Jul 2019 - Dec 2021
Contributions:8 commits, 2 pushes in 2 years 5 months
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