Le Peng
Research Scientist at University of Minnesota
Minneapolis, Minnesota, United States
Summary
👤
Senior🎓
Top SchoolLe Peng is a research scientist with nine years of experience applying deep learning to AI-for-healthcare problems, currently at Meta and completing a PhD in Computer Science at the University of Minnesota. He has led medical federated learning efforts that partnered with multiple universities and NVIDIA, built a COVID-19 chest X-ray detection system deployed across a dozen U.S. hospitals, and developed AI tools for ultrasound DICOM de-identification. Proficient in Python, PyTorch, TensorFlow, C/C++, and MySQL, he bridges NLP and computer vision to produce clinically impactful systems. Based in Minneapolis, he combines academic rigor with practical deployment experience, and his work has been highlighted in industry and university publications as well as an NVIDIA white paper. An engineer with a playful binary-minded streak, he brings both systems-level thinking and hands-on model development to healthcare AI challenges.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of MinnesotaBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Harbin Institute of Technology
Github Skills (1)
java3
Programming languages (3)
Github contributions (5)
PL97/PL97
Oct 2022 - Apr 2025
Contributions:953 pushes, 1 branch in 2 years 5 months
PL97/Constrained-Imbalaced-Learning
Jan 2023 - Feb 2023
Contributions:39 commits, 34 pushes, 7 branches in 1 month
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