I'm a product design and research leader who works where people, technology, data, and operational constraints have to come together clearly.

Much of my work starts with problems that are hard to see at first. A workflow may be slow because the real decision happens outside the product. A team may be moving quickly without enough customer evidence. A new AI capability may create as many questions as it answers. My role is to clarify that complexity so teams can decide what to build, what to test, and what to leave alone.

I care most about research and design that improve how teams make decisions. I want AI experiences people can understand, question, evaluate, and trust. I am especially interested in the space between insight and implementation: how teams turn what they have learned into real, usable, and safe product experiences.

Over the last 15 years, my work has spanned healthcare, enterprise software, telecom, public safety, and consumer platforms for organizations such as McKesson, AT&T, Digital.ai, The Home Depot, Cartoon Network, EY, and the CDC. Today, my practice focuses heavily on clinical workflows, design infrastructure, and AI-enabled delivery, building the systems and mentoring the teams that move from insight to execution with clarity.