Healthcare · Health informatics · Product

A decade inside healthcare taught me where the friction is.

Informatics, product thinking, and AI gave me the tools to build the fixes. Air Force and civilian healthcare, health-tech client operations, and graduate training in informatics and engineering — now applied to products that make fragmented health information usable.

At a glance

Trace the path
Since 2014
Inside healthcare — nine years as a United States Air Force aerospace medical technician, plus roles across civilian healthcare and the Veterans Affairs Hospital.
Health-tech operations
Sales development to client experience at ThoroughCare — supporting a large portfolio of healthcare organizations adopting care-management software.
Health informatics
M.S. in Health Informatics plus a graduate certificate in Medical Product Innovation — University of Pittsburgh, expected Spring 2027.
Now building
Founder of Mycelium Health, a health technology venture developing Mycelia, a personal health data platform in development.

Selected work

All work
In development

Mycelia

A personal health data platform in development under Mycelium Health, designed to organize fragmented health information and support better care conversations.

Ongoing

Concept

Healthcare AI Readiness Audit

A guided assessment helping smaller healthcare organizations figure out where AI actually fits — and where it doesn't.

2026

How the pieces connect

Not a series of career changes — one progression: experience the problem, learn how the system works, get the tools to fix it.

  1. Frontline healthcare
  2. Healthcare technology
  3. Health informatics
  4. Building

The full story

Working principles

How I approach the work

Three checks I use to keep healthcare products grounded in real workflows, usable information, and responsible evidence.

  1. Start with the workflow, not the feature.

    A technically elegant product still fails if it ignores the decisions, constraints, and handoffs around the person using it.

    The question

    What is hard today, for whom, and what would materially improve it?

  2. Make complexity lead somewhere.

    People rarely need another dashboard. They need the right context, organized so they can understand it, act on it, and involve the right person.

    The question

    What decision or conversation should this information make easier?

  3. Personalize from evidence—not around it.

    Individual data can make sound evidence more relevant to one person. It should never hide uncertainty, overstate meaning, or replace clinical judgment.

    The question

    What does the evidence support—and where are its limits?

Working on something ambitious in healthcare, data, or product?

If you're working on healthcare technology, product strategy, or health data, I want to hear what you're building.