I am a Senior Research Scientist at Google (2025 – Present) working on medical artificial intelligence foundation models and clinical conversational reasoning. I am a core contributor and co-founder of the AMIE (Articulate Medical Intelligence Explorer) project at Google, where my work spans developing and evaluating conversational AI for diagnostic dialogue, disease management, and real-time audio-visual interaction as well as specialist domains, exploring the potential of LLM-based systems to augment clinicians and democratize access to high-quality medical expertise.

Previously, I completed my Ph.D. in Medical Engineering and Medical Physics at Harvard-MIT Health Sciences & Technology (HST) (2020 – 2025), and was a Student Researcher at Google (2023 – 2025). Prior to my doctoral studies, I received my M.S.E. and B.S. degrees in Biomedical Engineering and Applied Mathematics with departmental and university honors from Johns Hopkins University (2016 – 2020).

My broader research centers on developing, aligning, and evaluating foundation models for medicine. Beyond conversational clinical AI and diagnostic dialogue systems, my work explores self-supervised vision-language models for medical imaging, entropy-regularized representations, uncertainty quantification via conformal prediction, and multi-agent reasoning frameworks for automated scientific discovery.

During my time at Johns Hopkins University (2016 – 2020), I collaborated with clinicians and researchers on clinical healthcare engineering, including non-invasive epilepsy seizure localization, continuous physiological vitals analytics for ICU trauma prognosis, and novel pressure-sensing catheters for interventional embolization.