
Hagai Rossman
Assistant Professor of Personalized Medicine
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
Chief Scientist, Pheno.AI
Research
I develop data-driven computational systems that transform rich biomedical data into actionable health insights. My work integrates data-driven computational modeling and AI methods with clinical knowledge to model disease trajectories and support personalized health interventions in real-world settings.
My research agenda focuses on three interconnected themes: foundation models that learn generalizable representations from multimodal health data; knowledge-infused approaches that ground predictions in biomedical and clinical understanding; and compound AI systems that combine specialized models, agents, and large language models to support complex clinical reasoning and decision making.
I completed my PhD at the Segal Lab at the Weizmann Institute of Science, where I played a central role in establishing and scaling the Human Phenotype Project (HPP), a large-scale deep phenotyping cohort. My work spanned both the scientific and infrastructural foundations of the project, including the development of predictive models from nationwide electronic health records and high-dimensional phenotypic data.
Featured Publications
A foundation model for continuous glucose monitoring data A transformer-based foundation model trained on 10 million glucose measurements that generalizes across populations and predicts diverse health outcomes. Nature, 2025
Deep phenotyping of health-disease continuum in the Human Phenotype Project Comprehensive deep phenotyping of 36,000 individuals reveals interconnected health dimensions and enables data-driven disease prediction across the health-disease continuum. Nature Medicine, 2025
Axes of a revolution: challenges and promises of big data in healthcare A perspective on how big data and AI are transforming healthcare through personalized medicine, while addressing key challenges in data integration and clinical translation. Nature Medicine, 2020