Jung-Ying Tzeng, PhD

Dr. Tzeng received her Ph.D. in Statistics from Carnegie Mellon University in 2003. She is Professor of the Department of Statistics and Bioinformatics Research Center at North Carolina State University. Dr. Tzeng's current research interests combine the fields of statistics and genetics and focus on developing statistical methods that can facilitate genetic epidemiologic research on human complex diseases.

Anastasios (Butch) Tsiatis, PhD

Dr. Tsiatis is Gertrude M. Cox Distinguished Professor of Statistics at North Carolina State University and Adjunct Professor of Biostatistics and Bioinformatics at Duke. He is a leading expert in clinical trials, survival analysis, causal inference, dynamic treatment regimes, group sequential trials, and semiparametric inference and author of a book on the latter topic.

Len Stefanski, PhD

Professor Stefanski earned a BS degree in Mathematics and Statistics at the University of Connecticut (1979), and MS and PhD degrees in Statistics at The University of North Carolina, Chapel Hill (1983, 1984). He started his academic career at Cornell University but has been a member of the Department of Statistics faculty at North Carolina State University since 1986. While at NCSU Stefanski has served as Director of the Statistics Graduate Program and as Associate Department Head, and has been awarded the D.D. Mason Department Award (2005) and the Cavell Brownie Mentoring Award (2013).

Rui Song, PhD

Dr. Song received her PhD in Statistics from the University of Wisconsin in 2006. She is Associate Professor of Statistics at North Carolina State University. Dr. Song's current research interests include high dimensional statistical learning, semiparametric inference and application of empirical processes, and dynamic treatment regimens.

Wenbin Lu, PhD

Dr. Lu received his Ph.D. from the Department of Statistics at Columbia University in 2003. He is Associate Professor of Statistics at North Carolina State University. Dr. Lu's current research interests include survival analysis, longitudinal data analysis, and statistical genetics.

Eric Laber, PhD

Eric Laber received his PhD in Statistics from the University of Michigan in 2011 and subsequently joined the Statistics Department at North Carolina State University. His research focuses on using randomized or observational data to inform complex decision problems in healthcare and ecology.