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.