Blue Cross and Blue Shield Auditorium (0001 Michael Hooker Research Center)

Chuanhai Liu, PhD, professor of statistics at Purdue University, will present this week's biostatistics seminar titled, "A Multithreaded and Distributed R for Big Data Analysis." Abstract: The computer software R is one of the most popular computing tools for data analysis. In the past decade or so, tremendous efforts have been made to make R useful for... Read more »

This week's biostatistics seminar will be presented by Nathan Kallus, PhD, assistant professor in the School of Operations Research and Information Engineering at Cornell Tech and Cornell University. Kallas will present a seminar titled "Confounding-Robust Policy Improvement." Abstract: Since observational data no matter how rich will have some unobserved confounding, methods for individualized decision making that assume unconfoundedness... Read more »

Kai Zhang will present this week's biostatistics seminar titled "BET on Independence." Kai Zhang, PhD, is an assistant professor in the Department of Statistics and Operations Research at UNC. Abstract: We study the problem of nonparametric dependence detection. Many existing methods may suffer severe power loss due to non-uniform consistency, which we illustrate with a paradox. To avoid... Read more »

Subhajit Dutta, PhD, Pranab K. Sen Distinguished Visiting Professor in the Department of Biostatistics, will present this "Adjustments of some distance based classifiers in HDLSS settings." Dr. Dutta's research interests... Read more »

Hongtu Zhu, PhD, professor in the Department of Biostatistics, will present this "Modern Statistical Methods in Ride-sharing Platforms and other IT companies." Dr. Hongtu Zhu, has a broad background in... Read more »

This week, the Biostatistics department is welcoming Dr. Jonathan Berg, a UNC physician and researcher in the Department of Genetics interested in the development and application of genetic tests in... Read more »

Andrew Gordon Wilson, PhD, assistant professor at Cornell University, will present a seminar titled "Uncertainty, Loss Valleys, and Generalization in Deep Learning." Abstract: In this talk, we approach model construction from a probabilistic perspective. First, we introduce a scalable Gaussian process framework capable of learning expressive kernel functions on large datasets, implemented in our new... Read more »

Xinyi Li, PhD, will present a seminar titled, "Sparse Learning for Image-on-Scalar Regression with Application to Imaging Genetics Studies."\ Motivated by recent advances in technology for medical imaging and high-throughput genotyping, we consider an imaging genetics approach to discover relationships between the interplay of genetic variation and environmental factors and measurements from imaging phenotypes. We... Read more »