Overview
Research in high-dimensional inference, nonparametric methods, Bayesian modeling, and biostatistics. Tackling statistical and computational challenges in analyzing big data. A recent focus of my research is on using multi-scale techniques to construct flexible probability models that can be applied to massive data sets. Traditional nonparametric approaches, while enjoying many established theoretical properties, are often computationally intractable for big data. Multi-scale inference provides a general framework for tackling the computational bottleneck, while preserving the theoretical guarantees enjoyed by classical methods.
Go to my homepage for the most up-to-date information.
Go to my homepage for the most up-to-date information.
Current Appointments & Affiliations
Professor of Statistical Science
·
2023 - Present
Statistical Science,
Trinity College of Arts & Sciences
Professor in Biostatistics and Bioinformatics
·
2023 - Present
Biostatistics & Bioinformatics,
Basic Science Departments
Education, Training & Certifications
Stanford University ·
2011
Ph.D.
The University of Chicago ·
2006
A.B.
The University of Chicago ·
2006
M.S.