معرفی
Jared Huling serves as an Associate Professor and McKnight Presidential Fellow within the Division of Biostatistics & Health Data Science at the University of Minnesota, contributing to biostatistical methodology development and health data science applications.
Education:
- PhD in Statistics from University of Wisconsin-Madison
- BS in Actuarial Science from The Ohio State University
Research Interests: Dr. Huling specializes in precision medicine methodology and causal inference frameworks for complex observational health data. His work addresses population heterogeneity to optimize patient outcomes through health system risk modeling and personalized intervention strategies. He develops advanced statistical learning techniques for high-dimensional electronic health records, focusing on flexible modeling of large-scale clinical datasets to identify treatment effect heterogeneity and improve prediction accuracy.
Scientific Awards:
- McKnight Presidential Fellow
Advising and Grants: Available documentation does not specify student advising activities or external grant funding details. His research program appears centered on methodological development with applications in health systems analytics, though specific project funding sources remain undisclosed in the provided materials.
