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Nova · Professor Researcher · re-ranking top 20…
George Chen

George Chen

· Assistant Professor

Carnegie Mellon University · Heinz College

Active 2000–2007

h-index31
Citations3.1k
Papers89
Funding
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About

George H. Chen is an Associate Professor at the Heinz College of Information Systems and Public Policy and an Affiliated Faculty member in the Machine Learning Department at Carnegie Mellon University. His research focuses on trustworthy machine learning methods for reasoning about time, particularly in health applications. He specializes in predicting time durations before critical events, known as 'time-to-event prediction' or 'survival analysis,' and analyzing time series data such as electronic health records and EEG data. His work aims to develop new methods for these time-related problems, emphasizing statistical guarantees and nonparametric approaches that operate under minimal assumptions on the data. Professor Chen has authored a book/monograph published in December 2024 in Foundations and Trends in Machine Learning, providing a self-contained introduction to deep learning methods for predicting time-to-event outcomes, targeted toward a machine learning audience. He has also contributed to the field by teaching tutorials on survival analysis at CHIL 2020 and SIGMETRICS 2021, and co-organized a survival analysis symposium as part of the 2023 AAAI Fall Symposium Series. Beyond his academic pursuits, he co-founded and advises CoolCrop, an AgriTech startup in India that provides cold storage solutions and market forecasts to farmers, serving over 9000 farmers across 7 states. His educational background includes a PhD in Electrical Engineering and Computer Science from MIT (June 2015), an SM in Electrical Engineering and Computer Science from MIT (June 2012), and a BS with dual majors in Electrical Engineering and Computer Sciences and in Engineering Mathematics and Statistics from UC Berkeley (May 2010). In spring 2026, he is teaching 'Unstructured Data Analytics' to public policy and information systems master's students at CMU.

Research topics

  • Physics
  • Particle physics
  • Nuclear physics
  • Algorithm
  • Combinatorics

Selected publications

Frequent coauthors

  • V. Savinov

    95 shared
  • H. Schwarthoff

    92 shared
  • R. Poling

    University of Minnesota

    92 shared
  • J. C. Wang

    Wuhan University

    92 shared
  • C. Sedlack

    University of Illinois Urbana-Champaign

    92 shared
  • R. Ehrlich

    91 shared
  • B. I. Eisenstein

    University of Illinois Urbana-Champaign

    91 shared
  • D. Riley

    University of New Mexico

    90 shared

Awards & honors

  • MIT George Sprowls award for best thesis in computer science
  • MIT's top teaching award for graduate students, the Goodwin…
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