I work at the intersection of medicine, biomedical science, and software.
I'm building tools that turn multimodal health data (clinical, lifestyle, environment, sensors) into real-time, actionable prevention + treatment insights.
Right now I'm focused on:
- Human Digital Twin platform for simulation + prediction
- LIFE ("Longevity Intelligence & Functional Evaluation") wearable sensing + patents
- AI in medicine (clinical decision support, risk forecasting, and care personalization)
- AI-enabled drug development, especially for longevity/geromedicine
My core obsession: How do we move healthcare from "reactive" to continuous + preventive, where we can simulate the future and intervene early?
That leads to three themes I keep returning to:
digital twins for health
A "digital twin" shouldn't just display data — it should help answer:
- What's changing?
- Why is it changing?
- What happens if we do X?
wearables that become clinical instruments
I'm interested in wearables that can capture meaningful signals (not noise), translate them into physiology, and support decision-making.
longevity + drug development
I'm especially interested in the pipeline from: biomarkers → mechanisms → targets → interventions → trials → outcomes.
I write about: digital twins, wearable biomarkers, AI in healthcare, disease prevention, precision medicine, longevity, health coaching, and the business side (sales + marketing).
If you want to collaborate: I love building with clinicians, engineers, researchers, and operators who care about rigorous science and real-world adoption.