Jared Huling, PhD
Assistant Professor, Division of Biostatistics
PhD, Statistics, University of Wisconsin-Madison
BS, Actuarial Science, The Ohio State University
My research interests focus on the development of precision medicine, causal inference, and statistical learning methodology for the analysis of complex observational studies. I am particularly interested in addressing various forms of population heterogeneity with the aim of improving patient health outcomes. My work in this area has involved applications in health system risk modeling and in personalizing intervention enrollment decisions. My research also includes methodological and computational developments to flexibly model complex data.
Causal inference, subgroup identification, precision medicine, heterogeneity of treatment effect, risk prediction, statistical machine learning, methods for high-dimensional data, observational data, electronic health records data