Scholar
George H. Chen
Google Scholar ID: O8eqJA4AAAAJ
Associate Professor, Carnegie Mellon University
Citations & Impact
Citations
1,558
H-index
17
i10-index
20
Publications
20
Co-authors
59
list available
Publications
Resume (English only)
Research Experience
- Associate Professor at Heinz College of Information Systems and Public Policy, Carnegie Mellon University, and Affiliated Faculty at the Machine Learning Department. Research areas involve time-to-event prediction/survival analysis, with a new book published. Also involved in CoolCrop, an AgriTech startup providing cold storage units and market forecasts for farmers in India.
Background
- Research interests include trustworthy machine learning methods, particularly in health applications. Much of the work focuses on predicting time durations before critical events (also known as 'time-to-event prediction' or 'survival analysis') and analyzing time series data such as electronic health records and EEG data. Aiming to develop new methods and understand when and why these methods work in terms of statistical guarantees.
Miscellany
- Occasionally works on machine learning for the developing world.
