Projects

I approach projects as platform-building efforts, not experiments.

Each project represents a deliberate attempt to turn frontier technical insight into systems that can scale, persist, and create real-world leverage.

Althea

Althea is a voice-first AI platform that I co-founded and lead as CEO, designed to deploy autonomous, closed-loop AI agents that interact with humans through language, action, and feedback.

I built Althea to answer a core entrepreneurial question:

What does a scalable human–AI interface actually look like in the real world?

The platform integrates:

  • Large language models and reasoning engines
  • Real-time voice interaction
  • Longitudinal memory and feedback loops
  • Agentic orchestration in complex environments

Healthcare serves as a high-stakes proving ground, but the underlying platform is about much more than a single vertical — it is a testbed for how AI systems can operate continuously, adapt to humans, and do real work over time.

As CEO, I own the platform vision, technical architecture, and organizational scaling, and I’ve led the company from early system design through deployment across care management, pharma, and payer environments.

Neurotechnology Platforms (Liminal / Hyperfine)

Before Althea, I led the invention and scaling of non-invasive neurotechnology platforms for monitoring and modulating brain function, working across startups and public companies.

This work involved:

  • Designing novel neural sensing and neuromodulation systems
  • Leading hardware–software co-design efforts
  • Translating research prototypes into commercial-grade platforms
  • Operating within regulated, real-world deployment constraints

These platforms were not just devices — they were systems, integrating sensing, computation, and feedback to operate reliably under biological uncertainty.

Translational Neurotechnology Platforms

In academic settings, at Yale and Stanford, my work has focused on translation — moving frontier neurotechnology from research environments into deployable systems validated in preclinical and early clinical validation.

This includes:

  • Neural interfaces and neuromodulation
  • Focused ultrasound and advanced sensing
  • AI-assisted neural decoding
  • Interdisciplinary collaboration across engineering, neuroscience, and medicine