2020 Faculty Promotions
Posted in DBBB Stories News | Tagged 2020, faculty news, promotions
(June 8, 2020) – The Department congratulates our faculty members who received promotions this year.
Jaeil Ahn, Ph.D. promoted to Tenured Associate Professor
Jaeil Ahn, Ph.D, earned tenure and was promoted to Associate Professor of Biostatistics. Dr. Ahn received a Ph.D. in Biostatistics from the University of Michigan, Ann Arbor. Before coming to Georgetown in 2013, Dr. Ahn held a postdoctoral research fellowship at MD Anderson Cancer Center at the interface of bioinformatics, biostatistics, and genetic epidemiology through Departments of Biostatistics and Bioinformatics/Computational Biology and Cancer Epidemiology.
Dr. Ahn’s methodological research areas include missing data analysis, longitudinal multivariate data analysis, health disparities, Bayesian semi-parametric approaches, and tumor heterogeneity. He is currently involved in multiple R01/U01 funded projects including liver disease/cancer with Dr. Goldman, Parkinson’s disease, Alzheimer’s disease, and Lewy Body with Dementia with Dr. Moussa, and Health related Quality of life of breast cancer survivors with Dr. Mandelblatt. He also collaborates with Lombardi Cancer Center researchers on clinical trials in myeloma, leukemia, pancreatic, head and neck, and lung cancer.
Simina Boca, Ph.D. promoted to Associate Professor
Simina Boca, Ph.D., was promoted from Assistant Professor to Associate Professor. She has been a faculty member in the Innovation Center for Biomedical Informatics and the Department of Oncology since 2014 and has had a secondary appointment in Biostatistics since 2015. Dr. Boca received a Ph.D. in Biostatistics and an M.H.S. in Bioinformatics from the Johns Hopkins Bloomberg School of Public Health and was a postdoctoral fellow in the Biostatistics Branch of the Division of Cancer Epidemiology and Genetics at the National Cancer Institute.
Dr. Boca’s research focuses on the development of computational and statistical methods for the analysis of “omics” data, including metabolomics and genomics, and considers their downstream application in precision medicine. Additional areas of interest include cancer epidemiology and population genetics. Her statistical interests include set-level analysis, multiple testing approaches, permutation methods, and meta-analysis.