About

Hi, I’m Dave Flanagan. 👋

I’m the VP of AI Solutions at Wiley, where I help customers develop new AI applications built on the intelligence in the scientific literature and beyond. In my previous role I led the team that built the AI systems underpinning our peer review platforms—things like intelligent referee recommendation and research integrity detection. Now I work on the other side of that, helping organizations turn that same kind of intelligence into products and workflows that serve their research and discovery needs.

My path here started with a PhD in Polymer Science and Engineering from UMass Amherst and Caltech. In 2004, I moved from Pasadena to Germany to start as an Assistant Editor for Advanced Materials. I went on to become Editor-in-Chief of Advanced Functional Materials and launched MaterialsViews (now Advanced Science News) and MaterialsViewsChina, Wiley’s first Chinese-language science news site.

After almost a decade in editorial, I moved to product management and launched the award-winning predictive retrosynthesis tool ChemPlanner. When data science became essential to publishing, I taught myself Python and machine learning to provide data-driven insights to our editorial teams. I also work extensively on research integrity challenges in the AI era.

I speak regularly at conferences and webinars about the intersection of GenAI and scholarly publishing, sharing what we’re learning as we implement these systems in production.

I’ve been in Germany for more than 20 years now, where in my spare time I photograph industrial history and the local winemaking landscape.

You can connect with me on LinkedIn.