Dr. George Chen

Assistant Professor

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Biography

George Chen is an Assistant Professor at Carnegie Mellon University's Heinz College, specializing in Information Systems. His research focuses on machine learning applications in healthcare and information systems, particularly in developing countries. He is known for his work in forecasting and predicting long patient stays in hospitals, as well as assisting farmers in rural India with crop sales. George employs nonparametric methods to allow the data to dictate the model used, rather than specifying a model in advance, which leads to more reliable and interpretable predictions. In addition to developing nonparametric predictors, he works on theoretical aspects of forecasting that are aimed at aiding practitioners in decision-making. George earned his Ph.D. in Electrical Engineering and Computer Science from MIT in 2015, where he received accolades for his dissertation on nonparametric machine learning methods. His teaching experience spans institutions such as UC Berkeley and MIT, where he has been recognized with teaching awards for his contributions to education, including the prestigious Goodwin Medal at MIT.

Research Interests

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.