Olga Demler

Dr. Olga Demler is a biostatistician who oversees development of novel statistical methodology and AI-driven analytics in large clinical cohorts with multiple modalities including high-throughput omics, raw imaging, and electronic medical records. She holds permanent appointment as a Senior Scientist in the Department of Computer Science at ETH Zürich and an Assistant Professor appointment in the Division of Preventive Medicine at Mass General Brigham hospital/ Harvard Medical School. In these roles she builds collaboration between cardiovascular researchers in Boston and computer scientists at ETH Zürich.

Dr. Demler received her Ph.D. in Biostatistics from Boston University, where she worked with Profs. Ralph D’Agostino Sr. and Michael Pencina on novel statistical assessments of risk prediction models. She later extended this work at Mass General Brigham, developing goodness-of-fit tests in survival settings and calibration and reclassification statistics with Prof. Nancy Cook. Her methodological interests include machine learning for individualized risk prediction, analytic workflows for high-dimensional biomarker discovery and AI-driven diagnostic modeling using raw medical imaging data and electronic health records.

Dr. Demler’s clinical research focuses on cardiovascular disease prevention, biomarker discovery, metabolic pathways, and women’s health. She has been providing statistical leadership for several major randomized and observational studies, including the Women’s Health Study, PROMINENT and VITAL trials, Electronic Health Records cohorts and UK Biobank. She also serves as Principal Investigator on research projects funded by the National Institutes of Health, the American Heart Association, and ETH Zürich, integrating cutting-edge AI with rigorous statistical methods to translate innovation into improved patient outcomes.