Summary
Erwin Folmer is an applied data science and AI leader with a PhD in Management and Governance and nearly a decade of experience at the intersection of business and ICT. Currently Lector Applied Data Science & AI at HAN University of Applied Sciences and Lead of the Data Science Team at Kadaster, he blends research-driven insights on semantic interoperability and standards with practical leadership in data-driven government and education contexts. His expertise spans big and linked data, IT and service-oriented architectures, XML-based sector standards, business architecture and governance, enabling cross-organizational interoperability. Known for translating complex standardization challenges into actionable architectures and processes, he combines academic rigor from the University of Twente with hands-on team leadership in the Dutch public sector.
9 years of coding experience
Ir., Business Administration & IT, Ir., Business Administration & IT at University of Twente
Albert Schweitzer
Dr., Management and Governance, PhD, Dr., Management and Governance, PhD at PhD University of Twente
English