Hagai Rossman

Assistant Professor of Personalized Medicine

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.