Gillings Career Services Virtual Summer Series

“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to help recent graduates and alumni survive COVID-19 and come out victorious. We’ll be sharing expert advice, straight talk, alumni personal stories and ideas, along with... Read more »

Gillings Career Services Virtual Summer Series

“Don't Quarantine Your Career: Log In & Learn” series Join UNC's Gillings School Career Services office for their “Don't Quarantine Your Career: Log In & Learn” weekly career series to help recent graduates and alumni survive COVID-19 and come out victorious. We’ll be sharing expert advice, straight talk, alumni personal stories and ideas, along with... Read more »

Collaborative Core Center for Clinical Research Speaker Series – Statistical Methods to Machine Learning: Methods for Learning from Data

The Collaborative Core Center for Clinical Research is hosting a speaker series that highlights methodological work being conducted by researchers across the National Institute of Arthritis and Musculoskeletal and Skin Diseases-funded P30 Core Centers for Clinical Research, with application to rheumatic and musculoskeletal conditions. Jamie Collins, PhD, is an assistant professor of orthopedic surgery at... Read more »

Biostatistics Seminar: Truncated Latent Gaussian Copula Model for Zero-Inflated Data

Truncated Latent Gaussian Copula Model for Zero-Inflated Data Dr. Gaynanova’s research focuses on the development of statistical methods to address the challenges associated with the analysis of modern high-dimensional biomedical data. Her main methodological interests are in the areas of statistical learning with sparsity, multivariate analysis and data integration. Her main application interests are in... Read more »

Biostatistics Seminar – Online Multiple Hypothesis Testing

Dr. Ramdas' main theoretical and methodological research interests include selective and simultaneous inference, sequential uncertainty quantification, and distribution-free black-box predictive inference. His areas of applied interest include neuroscience, genetics and... Read more »