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 »

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 »

National Public Health Week: Building Bridges to Better Health

During the first full week of April each year, APHA brings together communities across the United States to observe National Public Health Week as a time to recognize the contributions of public health and highlight issues that are important to improving our nation. APHA creates new NPHW materials each year that can be used during... Read more »

Greenberg Lectures: Scalable Statistical Inference of Large-Scale Whole Genome Sequencing Studies

The 2021 Bernard G. Greenberg Distinguished Lecture Series Featuring Professor Xihong Lin, Harvard University Lecture 1: May 20, 10-11:00 a.m. Scalable Statistical Inference of Large-Scale Whole Genome Sequencing Studies Big data from genome, exposome and phenome are becoming available at a rapidly increasing rate. Examples include Whole Genome Sequencing data, smartphone data, wearable devices, and... Read more »

Greenberg Lectures: Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies

The 2021 Bernard G. Greenberg Distinguished Lecture Series Featuring Professor Xihong Lin, Harvard University Lecture 2: May 20, 3-4 p.m. Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies In genome-wide epigenetic studies, it is of great scientific interest to assess whether the effect of exposure on a clinical outcome is... Read more »