- Professor, Tel Aviv University
Statistics and Operations Research
Dr. Malka Gorfine is a Professor in the Department of Statistics and Operations Research at Tel Aviv University and an Affiliate Investigator at the Division of Public Health Sciences at the Fred Hutchinson Cancer Research Center in Seattle. She earned her MA and PhD in Statistics from the Hebrew University of Jerusalem, and has held academic positions at Bar-Ilan University and the Technion — Israel Institute of Technology, and served as a Visiting Faculty Member at the Harvard School of Public Health.
Dr. Gorfine’s research focuses on survival data analysis, non-parametric statistics, biostatistics, and machine learning, with current work on survival deep learning, causal inference with survival outcomes, and natural experiment methods. She has developed widely used statistical software packages including HHG, frailtySurv, and PyMSM. For the Colton Consortium, she is contributing to the development of a multi-parameter prognostic prediction model for disability and disease progression in early-stage multiple sclerosis.
Dr. Gorfine serves as Associate Editor of JASA Applications and Case Studies and the Electronic Journal of Statistics, and previously co-edited Biometrics. She is a member of the STRATOS Survival Analysis Topic Group and has published extensively in leading statistical and biomedical journals.
