Hagai Rossman

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, demonstrating how real-world data can yield actionable clinical insights. 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 that informed national and international responses.

• Ph.D. in Mathematics & Computer Sciences from the Weizmann Institute of Science
• Master of Science in Physics from the Weizmann Institute of Science
• Bachelor of Science in Electrical Engineering & Bachelor of Science in Physics (double major) from Tel Aviv University
• Bachelor of Arts in Multidisciplinary Studies from the University of Haifa

Developing a series of omics analysis tools, including the first fully automated AI agent for multi-omics analysis.

• The Human Phenotype Project: Deep phenotyping of the health–disease continuum. Reicher, et. al ;. Nature Medicine, 2025.
• From glucose patterns to health outcomes: A generalizable foundation model for continuous glucose monitor data analysis. Lutskeret. al;. arXiv, 2024.
• CGMap: characterizing continuous glucose monitor data in thousands of non-diabetic individuals. Keshet et. al ;. Cell metabolism, 2023.
• Phenome-wide associations of sleep characteristics in the Human Phenotype Project et. al ;. Nature Medicine, 2025.
• COVID-19 dynamics after a national immunization program in Israel. Rossman et. al ;. Nature medicine, 2021.
• Hospital load and increased COVID-19 related mortality in Israel. Rossman et. al ;. Nature communications, 2021.
• A framework for identifying regional outbreak and spread of COVID-19 from one-minute population-wide surveys. Rossman et. al ;. Nature Medicine, 2020.
• PyMSM: Python package for Competing Risks and Multi-State models for Survival Data. Rossman et. al ;. Journal of Open Source Software, 2022.
• Prediction of childhood obesity from nationwide health records. Rossman et. al ;. The Journal of Pediatrics, 2021.
• Estimating the effect of cesarean delivery on long-term childhood health across two countries. Keshet & Rossman et. al ;. PloS one, 2022.
• Axes of a revolution: challenges and promises of big data in healthcare. Shilo, Rossman, Segal,;. Nature medicine, 2020.