What I build
I’m a technologist and entrepreneur who builds frontier platforms at the intersection of neurotechnology and AI — systems that connect intelligence to biology and the physical world through sensing, learning, and closed-loop interaction.
Across my career, I’ve taken ideas from early scientific insight to real-world systems, leading teams, defining technical roadmaps, and making long-horizon bets under biological and systems uncertainty.
I’m interested in systems that interface directly with humans and biology, learn continuously from interaction, pperate autonomously in real-world environments.
Core themes include:
- Neural interfaces and neuromodulation
- Closed-loop learning and control
- Voice and language as human–AI interfaces
- Computational phenotyping and personalization
- Platform design across hardware, software, and AI
Selected work
I approach projects as long-horizon bets, not isolated products. I’m currently building and scaling voice-first, closed-loop AI platforms that serve as practical human–AI interfaces in high-stakes settings, while continuing to advance neurotechnology systems that bridge sensing, computation, and action.
- Althea — Voice-first, closed-loop agentic systems exploring scalable human–AI interfaces in high-stakes healthcare environments
- Neurotechnology platforms — Non-invasive neural sensing and neuromodulation systems spanning research through commercialization
- Academic translation — Bridging frontier neurotechnology research into deployable systems and early clinical validation
Writing
I write short essays on neurotechnology, AI systems, interface design, and entrepreneurship — often focused on what’s missing between today’s tools and tomorrow’s platforms.
About
I’m a neurotechnology and AI systems builder with a background spanning startups, academia, and translational R&D.
I’m currently the Founder and CEO of Althea, and I serve as Adjunct Faculty at Yale School of Medicine and a Visiting Scientist at Stanford University.
Across my career, I’ve built and led multidisciplinary teams and made long-horizon technical bets under significant biological and systems uncertainty.
I’m driven by one question:
What happens when AI and the human brain truly understand each other?