Summary
Evander Van Wolfswinkel is a researcher and lecturer in applied data science with eight years of experience building human-centric intelligent systems across academia, public safety, healthcare, and industry. He blends a formal MS in Computing Science (Data Science) with practical work—ranging from unsupervised defect detection with autoencoders and anomaly detection in power grids to CNN-based neuroimaging for Parkinson’s diagnosis—to turn complex data into actionable insights. At the Police Academy he helped steer organizational change through data-driven initiatives and network building, and he now researches the seamless integration of technology, data, and human interaction at Saxion. Known for bridging the gap between models and real-world needs, he emphasizes ethical, practical deployments that account for human behavior and context.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computing Science (Data Science), Master of Science - MS Computing Science (Data Science) at Radboud University
Bachelor of Applied Science - BASc Bio-informatica (Bio-informatics), Bachelor of Applied Science - BASc Bio-informatica (Bio-informatics) at HAN University of Applied Sciences
English, Dutch