Cas Wognum is a senior scientist based in Montreal with nine years of experience applying machine learning to drug discovery and computer vision problems. At Valence Labs he now leads the Polaris project, translating deep-learning research from Mila into practical R&D that survived an acquisition and continues to push computational approaches in pharma. His background spans building annotation pipelines and production ML systems at Orbisk to advising students on data analytics, reflecting a blend of hands-on engineering, research rigour, and teaching. Trained in AI and game/media technology, he combines creative problem-solving from a filmmaking freelancing past with technical depth in chemistry-focused ML, uniquely positioning him to teach machines (and himself) drug discovery.
9 years of coding experience
13 years of employment as a software developer
VWO Gymnasium | C&M | Informatica, VWO Gymnasium | C&M | Informatica at Het Ashram College
Bachelor of Applied Science (B.A.Sc.) Technische informatica / Computertechniek / Technische computerkunde, Bachelor of Applied Science (B.A.Sc.) Technische informatica / Computertechniek / Technische computerkunde at Eindhoven University of Technology
Master of Science - MS Game and Media Technology, Master of Science - MS Game and Media Technology at Utrecht University
CCVX deelcertificaat VWO Wiskunde B, CCVX deelcertificaat VWO Wiskunde B at WisMon / Bèta onderwijsinstituut
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.