Rate My Professor Hagai Rossman

Hagai Rossman is Affiliated Assistant Professor of Personalized Medicine at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). His research interests lie at the intersection of healthcare and machine learning, applying modular and knowledge-infused methods to advance modeling of the health-disease continuum. A central theme of his research is bringing new AI technologies, including self-supervised learning and large language models, to deep phenotyping data from the Human Phenotype Project. This work spans multiomics, imaging, wearables, and lifestyle measures to discover biomarkers, predict health trajectories, and reveal underlying mechanisms.

Professor Rossman obtained his Ph.D. in Computer Science from the Weizmann Institute of Science. Alongside his role at MBZUAI, he is leading research at Pheno.AI and helped found the Human Phenotype Project, a large-scale deep phenotyping cohort that integrates multi-omics, imaging, wearables, and lifestyle measures to model the health–disease continuum. His earlier work with nationwide electronic health records focused on building predictive and causal models for early-life health, pregnancy, and comparative effectiveness of treatments. During the COVID-19 pandemic, he directed efforts to provide near real-time intelligence for policymakers, developing digital surveillance platforms, forecasting models, and vaccine impact assessments. Key publications include The Human Phenotype Project: Deep phenotyping of the health–disease continuum (Nature Medicine, 2025), COVID-19 dynamics after a national immunization program in Israel (Nature Medicine, 2021), and From glucose patterns to health outcomes: A generalizable foundation model for continuous glucose monitor data analysis (arXiv, 2024). He earned an M.Sc. in Physics from the Weizmann Institute of Science, a B.Sc. in Electrical Engineering and Physics from Tel Aviv University, and a B.A. in Multidisciplinary Studies from the University of Haifa.