The Department of Biostatistics welcomes the remote visit of Dr. Jonathan Schildcrout, vice chair for research, biostatistics at Vanderbilt University Medical Center. Dr. Schildcrout's main research interests are in longitudinal... Read more »
The Department of Biostatistics will host Dr. Stephens, a statistician and data scientist who has made seminal contributions to the practice and applications of statistics in genetics. The seminar is... Read more »
Dr. Lorin Crawford is a Senior Researcher at Microsoft Research New England and the RGSS Assistant Professor of Biostatistics at Brown University. His most recent work has earned him a... Read more »
Dr. Kenneth Rice's research focuses primarily on developing and applying statistical methods for complex disease epidemiology, notably cardiovascular disease. He leads the Data Coordinating Center and Analysis Committee for the... Read more »
Barbara E. Engelhardt, an associate professor, joined the Princeton Computer Science Department in 2014 from Duke University, where she had been an assistant professor in Biostatistics and Bioinformatics and Statistical... Read more »
Dr. Yingqi Zhao is the recipient of the UNC Biostatistics 2020 James. E. Grizzle Alumni Award. Dr. Zhao earned her PhD. in 2012. With the goal of improving patient outcomes, her work focuses on developing novel statistical and machine learning methods for personalized medicine, dynamic treatment regimes, disease screening and surveillance, clinical trial design, and... Read more »
Dr. Sandra Safo's research interests are in developing statistical methods and computational tools to help identify risk factors for complex diseases: multivariate statistical methods, statistical learning (including classification, discriminant analysis, association studies), data integration and feature selection methods for high dimensional data; currently integrative analysis of genomics, transcriptomics and metabolomics to help elucidate the complex... Read more »
Dr. Devan V. Mehrotra has, over the past 30 years, made significant contributions towards the research, development and regulatory approval of medical drugs and vaccines across a broad spectrum of... Read more »
Dr. Sharon Browning's expertise is population genetics methods for large scale genetic data. In this lecture, she will discuss "Population genetics inference using segments of identity by descent." Segments of... Read more »
Dr. Tyler VanderWeele holds degrees from the University of Oxford, University of Pennsylvania, and Harvard University in mathematics, philosophy, theology, finance, and biostatistics. His research is focused on distinguishing between association and causation in the biomedical and social sciences, and, more recently, on measurement theory and synthesizing ideas from causal inference and analytic philosophy into... Read more »
Dr. Ashley Petersen's research focuses on developing methods in the area of statistical learning, and in building flexible and interpretable data-adaptive models that are useful in modern settings with large numbers of covariates. She develops methods for the analysis of calcium imaging data. As a member of the Biostatistics and Bioinformatics Core of the Masonic... Read more »
Dr. Lina Montoya's doctorate was funded by an F31 NIH grant from the National Institute of Allergy and Infectious Diseases. Her project leveraged data from a Sequential Multiple Assignment Randomized... Read more »
Dr. Richard Zink spent 17 years in and around medical product development at a real-world data company (Target RWE) where he led data management and statistics in the analysis and reporting of data derived from electronic medical records; a software company (SAS Institute) where he developed and supported platforms to analyze and visualize safety and... Read more »
Dr. Christina Kendziorski's research concerns statistical methods and software for computational biology and genomics. Her group develops statistical methods and software for the analysis of data from high-throughput genomics experiments... Read more »
Dr. Xiang Zhou is a John G. Searle Assistant Professor of biostatistics who received his M.S. in statistics and PhD in neurobiology from Duke University (2010). His research focuses on developing statistical methods and computational tools for genetic and genomic studies. These studies often involve large-scale and high-dimensional data; examples include genome-wide association studies and... Read more »
