Healthcare products and the decisions behind them.
I build and advise on healthcare AI products where clinical trust, workflow adoption, and operational governance determine whether the product can actually be deployed.
I've led product work that grew Dialer to 110 million clinician visits at Doximity, co-founded Andwise serving 1,200+ physicians, and directed care programs across surgery, oncology, and behavioral health. The same problem kept showing up: consequential decisions that were hard to trace, correct, or coordinate.
Available now for Q3 2026 — select advisory and fractional work.
Patients don't answer calls from unknown numbers — that single observation drove Doximity Dialer.
Case studies
Case study
Verified caller ID for HIPAA-conscious telehealth
Patients ignored calls from unknown numbers, stalling telehealth. Dialer showed the doctor's office number — verified and HIPAA-safe.
Case study
Care navigation that cut avoidable escalations
Led product work across value-based specialty-care and care-navigation programs (Surgery, Urgent Care, Behavioral Health, Oncology Care).
Case study
Andwise: fiduciary planning & physician support
Co-founded Andwise, raising $240K, growing to 1,200+ physician users and a 700-member community with a 50+ physician advisory board.
Active ventures
Venture
Venture
Open source
Open source
Open source
Frameworks & research
I think about how systems hide burden and make failure hard to correct.
Framework
Product method
Ethotechnics
A product method for designing safe exits, override paths, escalation loops, and correction mechanisms in complex workflows.
Explore method →
Framework
Field writing
The Crumple Zone
Writing on institutional burden, proof, delay, healthcare synthesis, and systems that absorb failure by routing it onto people.
Read essays →
Framework
Policy proposal
Proof-Based Governance for Algorithmic and Automated Systems (v1.2)
A proposal for making automated decisions easier to review, challenge, and update in production.
Review proposal context →
Labs & open-source
Small public projects around provenance, music visualization, and community archives.
If you're working on a healthcare AI product that needs to bridge the gap between demo and deployable system — clinical trust, workflow adoption, governance, or operational accountability — I'd like to hear about it.