David served for several years as Global VP of Data & Analytics and Chief Data Scientist at Crayon, where he was instrumental in scaling the global data organization, launching a widely adopted data mesh, and spearheading the company’s strategy in responsible AI development.

His industry experience spans analytics and AI solutions for leaders in manufacturing optimization, financial forecasting, customer segmentation, and throughput optimization—as well as defining responsible AI strategy and prototyping ML-monitoring products.

David’s robust technical foundation is underpinned by significant research contributions, including postdoctoral fellowships at Harvard University (leading translational medicine projects) and at Imperial College London (where he developed big-data foundations that powered top epidemiology publications). He holds a PhD Cum Laude in Molecular Biology and Biomedicine.

“Data is the foundation of every strategic decision; my goal is to ensure it’s both accessible and ethically governed.”