Biostatistics Events

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 »

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 »

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 »

Nancy Zhang, PhD, professor of statistics at the University of Pennsylvania, will present this week's biostatistics seminar titled "Transfer Learning in Single Cell Transcriptomics." Abstract: Cells are the basic biological units of multicellular organisms. The development of single-cell RNA sequencing (scRNA-seq) technologies have enabled us to study the diversity of cell types in tissue and to elucidate the... Read more »

Gang Li, PhD, professor of biostatistics and biomathematics at UCLA, will present this week's biostatistics seminar titled "A Scalable L0-Based Sparse Regression Method for Large-Scale Competing Risks Data." Abstract: This paper develops... Read more »

Jan Hannig, PhD, professor of statistics and operations research at UNC Chapel Hill, will present this week's biostatistics seminar titled, "Data Integration Via Analysis of Subspaces (DIVAS)." A major challenge in... Read more »

Shuangge Ma, PhD, professor of biostatistics at Yale School of Public Health, will present this week's biostatistics seminar titled "Pan-disease clustering analysis of the trend of period prevalence." For all... Read more »

Jamie Perin, the 2018 James E. Grizzle Distinguished Alumni Award recipient, will be presenting her award lecture for this week's biostatistics seminar. The lecture is titled, "Predicting child mortality by cause in high mortality countries with the Bayesian lasso." Jamie Perin's research interests are international health, biostatistics, longitudinal data, missing data, child mortality, statistical epidemiology,... Read more »

Susan Homes, PhD, professor of statistics and member of BioX at Stanford University, will present this week's Biostatistics seminar titled, "Robust methods for heterogeneous data collected in studies of the human microbiome." Brought up in the French School of Data Analysis (Analyse des Données) in the 1980’s, Dr. Susan Holmes is a Data Scientist specialized... Read more »

Join the Department of Biostatistics in welcoming Dr. Rudin, who directs the Prediction Analysis Lab at Duke University. Previously, Dr. Rudin held positions at MIT, Columbia, and NYU. She holds an undergraduate degree from the University at Buffalo, and a PhD in applied and computational mathematics from Princeton University. Work from her lab has won... Read more »

David Vock, PhD, assistant professor in the Divison of Biostatistics in the School of Public Health at the University of Minnesota, will present this week's seminar  titled, "Statistical Methods for... Read more »

This week, the Department of Biostatistics is welcoming back a UNC Alumnus, Dr. Suprateek Kundu. His current research focuses on developing flexible tools for Bayesian analysis of high dimensional data... Read more »

The Department of Biostatistics is welcoming Lukas Biewald for his seminar on "Visualization and tracking of hyperparameters during training of deep learning models". Weights and Biases is an experiment tracking... Read more »

With more than 10 years of experience in the design and conduct of phase I to III clinical trials, Dr. Barry has provided biostatistical leadership working for both contract research... Read more »