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 »
Supporting students in difficult situations can be confusing, challenging and time-consuming. Our students face a variety of issues that are complex. We want to make sure you have the resources to assist you when you are approached by students. This webinar will allow faculty and staff to engage and practice with colleagues on ways to... Read more »
Join the Gillings community for a conversation with Pam Fessler, MPA, journalist, NPR correspondent and author of Carville's Cure: Leprosy, Stigma, and the Fight for Justice. Her book highlights how the U.S. confined leprosy patients through much of the 20th century and how the patients fought against the injustice. Fessler will discuss lessons learned from... 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 »
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... 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... 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 »
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... 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 »
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... Read more »
Gillings students, as part of schoolwide strategic planning, the Gillings School has convened a Practice Task Force, and we need to hear from you! We are seeking your thoughts and... Read more »
Join the NC TraCS Institute for a live training session for Semblie, a free platform for developing digital health interventions. Semblie was designed with the needs of public health researchers... Read more »
Machine learning analysis methods offer the opportunity to integrate and learn from large amounts of biological, clinical, and environmental data. During this session, clinicians and researchers will discuss examples of... Read more »
Machine learning analysis methods offer the opportunity to integrate and learn from large amounts of biological, clinical, and environmental data. During this session, clinicians and researchers will explore the use... Read more »
