Conduct fundamental and applied ML research to develop physiological and behavioral world models simulating continuous-time human biology. Design novel machine learning architectures (e.g., state-space models, neural dynamical systems) for multi-modal clinical telemetry and longitudinal EHRs (e.g., MIMIC-IV). Build and maintain robust evaluation benchmarks (OxyBench) to assess disease trajectory predictions, acute clinical events (e.g., sepsis), and counterfactual treatment simulations.
Collaborate cross-functionally with ML researchers, software engineers, and external clinical partners across Mountain View, London, and Paris. Publish original research in top machine learning conferences and leading medical journals.
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