Biostatistics Events

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... 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... 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... 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 and have considerable expertise in the experimental design and analysis of bulk RNA-seq studies and in single-cell RNA-seq. The group also uses high-throughput data from... 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... 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 »

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... 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... Read more »

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... Read more »

The 2021 Bernard G. Greenberg Distinguished Lecture Series Featuring Professor Xihong Lin, Harvard University Lecture 3: May 21, 10-11 a.m. Regression Models for COVID-19 Epidemic Dynamics with Incomplete Data Modeling... Read more »

Join the Department of Biostatistics for a Gillings Virtual Reception in conjunction with the Joint Statistical Meetings (JSM) 2021. To join this virtual event, you must register in advance. After... Read more »

Come learn from current Biostatistics students who have been through the application process. Open to all interested/potential applicants to the Gillings School's biostatistics programs. Register in advance. Contact Taylor Krajewski... Read more »