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Edward Kennedy

Associate Professor

Bio

I joined Carnegie Mellon as as assistant professor in 2016, after graduating with a PhD in biostatistics from the University of Pennsylvania. Prior to that I received an MA in statistics from the Wharton School, an MS in biostatistics from the University of Michigan, and a BA in mathematics from the University of Pennsylvania.

More info is available at .

Specific Research Interests

My research interests include causal inference, missing data, functional estimation, machine learning, and general nonparametrics, especially in settings involving high dimensional and otherwise complex data. I am particularly interested in applications in criminal justice, health services, medicine, and public policy.

Areas of Research

• Causal Inference
• Statistical Machine Learning
• Public Policy & Social Sciences</a.
• Nonparametric Methods
• Statistical Machine Learning