Most people building technology for clinical research sites have never worked at one. I have — for over a decade, across roles that span the full reality of how sites actually operate. That background shapes everything about how I sell, what I build relationships around, and why customers tend to trust me faster than they expect to.
The through-line across my career is simple: ask the right questions, understand the real problem, and earn trust before asking for anything. I learned that at the bedside as an ICU nurse. I sharpened it managing multi-trial research portfolios and a $5M NIH-funded multisite program at the University of Virginia. I apply it every day now managing a large enterprise portfolio at Florence Healthcare, partnering with health systems and research sites to modernize clinical operations through technology.
What I’m most focused on right now is a shift I think the industry is underestimating. The sites evaluating software today aren’t just comparing features — they’re trying to figure out how AI is going to reshape their workflows, their data obligations, and their workforce. Most vendors aren’t ready for that conversation. I want to be the person who is.
Inside Florence, I’m regularly pulled into Product, Services, and Marketing conversations because I can translate what sites are actually experiencing into language that influences what we build. Outside of it, I speak at ACRP chapter events on career development and the changing relationship between clinical operations and technology.
If you’re thinking about any of those intersections — clinical research, health system operations, AI adoption, or the space where all three collide — I’d welcome the conversation.