Min Xu
Associate Professor
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolMin Xu is an associate professor at Carnegie Mellon University with nine years of focused experience developing computer vision and machine learning methods for biomedical image analysis, especially cryo-electron tomography 3D image analysis. He co-directs the MS in Computational Biology program and holds affiliated and courtesy faculty roles that bridge AI, robotics, and computational biology across institutions. His background spans industry leadership as a senior engineering manager and tech lead at Petuum and deep research roles at USC and Singaporean institutes, reflecting a rare mix of applied ML engineering and molecular-scale imaging research. Trained with a PhD in Computational Biology and advanced degrees in applied mathematics and computer science, he translates complex biological problems into practical, scalable algorithms. Colleagues seeking collaboration often find his lab combines rigorous method development with production-aware engineering—contactable via xulabs.github.io.
9 years of coding experience
14 years of employment as a software developer
Master of Arts Applied Mathematics, Master of Arts Applied Mathematics at University of Southern CaliforniaB.E Computer Science, B.E Computer Science at Beihang UniversityM.S Computer Science Information Systems, M.S Computer Science Information Systems at National University of Singapore
Chinese, English
Github Skills (5)
tomography9
python4
tensorflow2
deep-learning2
keras2
Programming languages (2)
Github contributions (5)
xulabs/aitom_doc
Sep 2019 - Aug 2020
Contributions:34 commits, 14 PRs, 40 pushes in 11 months
xulabs/aitom
Jun 2019 - Dec 2022
Contributions:1 release, 223 commits, 180 PRs in 3 years 6 months
tomography
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