Founder
Christine DeLuna
Founder & CEO, AuVentures Health
I started AuVentures because the questions I’ve spent my career asking — about how systems shape the way people are understood — turned out to be the same questions I was living through as a patient.
Why I built AuVentures
For most of my life I’ve been interested in a single question, even before I had a clear way to name it: how do the systems we build — religious, social, technological — shape the way people are seen, counted, and cared for?
I’ve also lived that question from the inside. Navigating autism and autoimmune illness, I came to know what it feels like to be cared for in fragments — and to process my own health in ways the standard medical encounter was not built to receive.
AuVentures is where those two threads meet. It’s an attempt to build technology that helps the system see the whole person — without asking patients to do all the connective work themselves, and without asking clinicians to do it in the margins of an already full day.
I founded AuVentures in 2025, after nearly two decades in technology — most recently working on generative AI. The decision wasn’t sudden. It came from holding two things at once: a professional life spent building data and AI products, and a personal life spent navigating care that those same kinds of systems were not designed to support well.
The fuller story of how my own experience shaped the tool itself is on the Neurodiversity-informed design page.
The path here
An unusual route to health technology.
My background isn’t the standard one for a health-technology founder, and I’ve come to see that as a strength rather than something to explain away.
I hold a BA and an MA in Religious Studies — a field that, at its core, is the study of how systems of belief organize human understanding and behavior. I carried that interest into a 2006 summer fellowship at Harvard, working with the Institute for Quantitative Social Science on game theory and voting behavior — examining how religious practices and beliefs function as a driver of the choices people make.
From there I spent nearly two decades in technology, most of it at Apple. Over roughly nine years I moved from business analysis into product — helping launch Apple’s advertising platforms, then leading product and insights work, and going on to build privacy-centric data products for Apple Services. My final role at Apple was in generative AI enablement, shaping how AI was adopted responsibly across the organization. Earlier in my career I led marketing analytics teams at Walmart eCommerce and Franklin Templeton Investments.
Today I’m completing a Master’s in Artificial Intelligence and Machine Learning, and I work as an advisor and hands-on researcher at the intersection of ethics, consciousness, and the application of AI in medical care. The through-line from religious studies to game theory to privacy-centric data products to AI ethics has always been the same: a sustained attention to how systems shape the way people are understood — and how they can be built to do that more humanely.
Questions about governance, ethics, or data practices: privacy@auventureshealth.org
Background
Education
MS, Artificial Intelligence & Machine Learning — in progress
Colorado State University Global · 2024–2027
Summer Fellowship, Harvard University
Institute for Quantitative Social Science, 2006 · Game theory and voting behavior, with religious practices and beliefs as a driver of decision-making.
MA, Religious Studies
California State University, Long Beach · 2003–2005
BA, Religious Studies
California State University, Long Beach
Professional
Founder & CEO, AuVentures Health
2025–present.
Apple — roughly nine years across product and analytics
Roles spanning the launch of Apple’s advertising platforms, product and insights leadership, privacy-centric data products for Apple Services, and generative AI enablement.
Marketing analytics leadership
Earlier roles leading marketing-analytics teams at Walmart eCommerce and Franklin Templeton Investments.
Advisor & researcher — ethics, consciousness, and AI in medical care
Ongoing advisory and hands-on research work.