Dr. Joseph Ibrahim, Alumni Distinguished Professor of biostatistics at UNC, is principal investigator of a National Institute of Health (NIH) grant for developing statistical methodology related to cancer and genomics research. Dr. Ibrahim is the Director of the Biostatistics and Data Management Core at UNC’s Lineberger Comprehensive Cancer Center. He is the biostatistical core leader of a Specialized Program of Research Excellence – or SPORE – grant in breast cancer that is currently funded from NIH.
Dr. Ibrahim's areas of research focus are Bayesian inference, missing data problems, medical imaging analysis, and cancer genomics. He received his Ph.D. in statistics from the University of Minnesota in 1988. With over 26 years’ experience working in cancer clinical trials, Ibrahim directs the UNC Laboratory for Innovative Clinical Trials (LICT). He is also the Director of Graduate Studies in UNC’s Department of Biostatistics, as well as the Program Director of the cancer genomics training grant in the department. Sr. Ibrahim has served on several national committees and study sections, including being the Section Chair of the Section on Bayesian Statistical Science of the American Statistical Association and the Biostatistical Methods and Research Design (BMRD) NIH Study Section. He has also served as the Associate Editor for several statistical journals and was the Editor of JASA - Application and Case studies from 2013-2015. He is currently an Associate Editor for both JASA-Theory and Methods and JASA – Applications and Case Studies. Dr. Ibrahim has published over 340 research papers, most in top statistical journals. He also has published two advanced graduate-level books on Bayesian survival analysis and Monte Carlo methods in Bayesian computation. He is an elected fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics (IMS), International Society of Bayesian Analysis (ISBA), and an elected member of the International Statistical Institute.
For the past 26 years, Dr. Ibrahim, his students, and his co-workers, has been deeply engaged in cancer clinical trials and genomics research. In clinical trials, Dr. Ibrahim has developed methods for meta-analysis and network meta-analysis, adaptive methods for Bayesian design and analysis of clinical trials, and informative prior elicitation based on historical data for Bayesian clinical trials design and analysis. In genomics, Dr. Ibrahim has specifically examined statistical issues in motif discovery, gene expression analysis, eQTL, DNA/RNA sequence analysis, intra-tumor heterogeneity, single cell sequencing methods, and deep learning. Dr. Ibrahim has also been deeply invested in developing Bayesian survival analysis methods for cancer clinical trials and genomic data.