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 my website: www.ehkennedy.com.
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.