I’m a complexity scientist by training, a self-taught technologist by necessity, and somehow I ended up building people analytics programs for the U.S. Army. It turns out that being slightly out of place everywhere is actually a superpower.
For over a decade, I’ve been translating the language of data into something HR professionals can actually use — not just in federal agencies, but in any organization trying to figure out how their people data can drive better decisions. My work lives at the intersection of talent management, AI, and the very human question of what makes work work.
I’m the author of Data-Driven Talent Management (Kogan Page, 2024), a practitioner-focused book built on nearly a decade of real-world implementation experience. I’m also a doctoral candidate at the University of Miami Herbert Business School, where I’m researching human-centered AI integration in the workplace — because I believe the way we bring AI into organizations matters just as much as the technology itself.
When I’m not doing any of that, I’m writing The Talent Code on Substack, speaking at conferences, and trying to convince HR audiences that data isn’t actually scary. (Success rate: improving.)
Data-Driven Talent Management
Grab my book!
This book packages almost a decade of my research and practical experience in improving talent management, building high performing teams, and optimizing employee experience through data and automation as implemented in the U.S. Army and other federal agencies. Full of useful frameworks and tips, this book makes people analytics and talent management practical and accessible, and helps you create a more flexible, adaptive, and innovative workforce!