Mountain View, California, United States
I lead the Metabolic Health AI research program at Google with a mission to redefine how we detect and prevent cardiometabolic diseases. My work leverages large-scale physiological and behavioral data to build foundational AI systems at the intersection of digital health and precision medicine. My team's goal is to shift healthcare from reactive treatment toward early, personalized prevention for millions of people around the world. PhD in Biomedical Engineering and Masters in Computer Science (UIC), and Postdoc in AI and Wearables (Snyder Lab, Stanford University). Beyond industry research, I’m deeply committed to the global engineering community and have been elected to serve as Vice President of Conferences for the IEEE Engineering in Medicine and Biology Society. A few highlights of my work: - 90+ publications in leading journals and conferences, including Nature, Nature Biomedical Engineering, Science, and NeurIPS. - Co-inventor on 10 patents focused on foundational AI models for health applications. - Recipient of the Stanford RISE Award, IEEE EMBS Rising Star Award, and the NIH Predoctoral Translational Scientist Fellowship. I’m particularly interested in collaborations that advance AI-driven prevention and personalized health at the population scale.
AI + Multimodal + Health