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... Read more »
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 »
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 »
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... 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 »
This workshop qualifies for 1 hour of credit toward the Gillings School's annual inclusive excellence training requirement for faculty and staff. The goal of the National Institutes of Health (NIH)... Read more »
Dr. Sunduz Keles will give a biostatistics talk titled "Identifying effector genes of human GWAS variants by INFIMA". The Keles Research Group is interested in statistical and computational genomics and... Read more »
What are the structural and systemic barriers experienced by entrepreneurs of color? Join a panel of Gillings School alumni and faculty entrepreneurs on April 1 to learn more about their... Read more »
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 »
Dr. Donna Spiegelman has a joint doctorate in biostatistics and epidemiology and her research is motivated by problems that arise in epidemiology and require biostatistical settlement; in part a focus on troubleshooting methods for study design and data analysis to reduce bias in estimation and inference due to measurement error or misclassification in the exposure... Read more »
Dr. Richard Cook's research interests include the development and application of statistical methods for public health research. Specific areas of interest include the analysis of life history data, longitudinal data... Read more »
Dr. Jonathan Wakefield worked internationally and at University of Washington since 1999 in the Departments of Statistics and Biostatistics; he was Chair of the Dept. of Statistics from 2009-2011. His... Read more »
Please note the changed time of day for this Seminar: 2-3 pm. The Biostatistics Department Awards Day will commence directly after the seminar. Dr. Yijuan Hu is the 2020 J.E... Read more »
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 »
