Population genetics inference using segments of identity by descent

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 identity by descent (IBD) are long tracts of DNA shared by pairs of individuals due to inheritance from a recent common ancestor. These segments are... Read more »

Spring PHield Trip to RTI

Explore public health in action! Join the virtual PHield trip with RTI International on Feb. 18 from 1-3:00 p.m. The event will feature a keynote on mobilizing global public health research during a pandemic, a discussion regarding the intersection of public health, mental health, and racial equity, and breakout rooms where you can learn about... Read more »

Optimal Dynamic Treatment Rule Estimation and Evaluation with Application to Criminal Justice Interventions in the United States

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 Trial (SMART) called Adaptive Strategies for Preventing and Treating Lapses of Retention in HIV Care (ADAPT-R; PIs: Drs. Petersen and Geng) to estimate individualized treatment... Read more »

Statistical methods for single-cell and spatial RNA-seq

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 »

Statistical analysis of spatial expression pattern for spatially resolved transcriptomic studies

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 »