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 »
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... 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 »
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 »
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 infectious disease dynamics has been critical throughout the COVID-19 pandemic. Of particular interest are the incidence, total prevalence, and effective reproductive number (Rt). Estimating these... 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 with questions.
Dr. Evan Mayo-Wilson is an epidemiologist with training and experience in intervention design, evaluation and translation of clinical evidence into policy and practice. His research focuses on evaluating the effectiveness of pharmacological and behavioral interventions; improving methods for clinical trials and systematic review; and developing methods and interventions to increase research tran11sparency and openness. View... Read more »
