George Chen
Associate Professor Of Information Systems
Pittsburgh, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolGeorge Chen is an associate professor of information systems at Carnegie Mellon University and an affiliated faculty member of the Machine Learning Department, with a decade of experience building trustworthy ML methods for time-to-event and time-series prediction. His work emphasizes nonparametric models that make robust predictions under minimal assumptions, with primary applications in healthcare and practical deployments in agritech through his role as co-founder and advisor of CoolCrop. He has a strong research and teaching pedigree from MIT and Berkeley, having developed an edX course on probabilistic inference and taught data analytics to public policy and information systems students. George blends theoretical contributions—from his PhD work on nonparametric inference and real-time medical imaging—with hands-on productizing experience, such as satellite-based electrification planning at GridForm. He also engages in tech-for-good education, repeatedly teaching web development to Israeli and Palestinian students through MEET, reflecting a commitment to accessible computing and socially impactful applications.
10 years of coding experience
16 years of employment as a software developer
Bachelor's Degree dual majors in Electrical Engineering and Computer Sciences Engineering Mathematics and Statistics, Bachelor's Degree dual majors in Electrical Engineering and Computer Sciences Engineering Mathematics and Statistics at University of California, BerkeleyDoctor of Philosophy (Ph.D.) Electrical Engineering and Computer Science, Doctor of Philosophy (Ph.D.) Electrical Engineering and Computer Science at Massachusetts Institute of TechnologyGithub contributions (5)
georgehc/npsurvival
May 2019 - Oct 2021
Contributions:7 commits, 5 pushes, 1 branch in 2 years 5 months
georgehc/dksa
Jul 2020 - Oct 2021
Contributions:8 commits, 8 pushes, 1 branch in 1 year 2 months
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