I started as a scientist. MS in machine learning, PhD in medical imaging, years in the lab running multi-modality preclinical imaging studies for pharma. I liked the science, but I kept asking different questions: why does this technology matter to anyone outside this building? Who is going to buy it? How?
I transitioned to a business development role at a med device company. That led to seven years in management consulting, advising Fortune 500 healthcare companies spanning payers, pharma/life sciences, and med-device on innovation strategy. I learned frameworks like jobs-to-be-done and lean startup, but more importantly I learned how companies actually make decisions, what holds them back, and how they could apply principles of innovation to be more nimble and find market success.
I then spent several years at mid to late stage SaaS and med-tech startups. I have led customer success teams, built strategic partnerships, and built sales and BD motions from the ground up. Eighteen years total, mostly spent figuring out how to take innovations to market and build strong revenue streams.
Today I work with health-tech founders who have strong technology but need help on the commercial side. Recent engagements include transforming a clinical trials consultancy into an AI-native product company, leading US market entry for a European radiology AI startup and advising a university tech transfer office on imaging technology commercialization.