Cas Wognum

Staff Scientist at Valence Labs

Montreal, Quebec, Canada
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Summary

👤
Senior
🎓
Top School
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.
code9 years of coding experience
job14 years of employment as a software developer
bookVWO Gymnasium | C&M | Informatica, VWO Gymnasium | C&M | Informatica at Het Ashram College
bookBachelor 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
bookMaster of Science - MS Game and Media Technology, Master of Science - MS Game and Media Technology at Utrecht University
bookCCVX deelcertificaat VWO Wiskunde B, CCVX deelcertificaat VWO Wiskunde B at WisMon / Bèta onderwijsinstituut
languagesDutch, English, French
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Github Skills (112)

detectron9
cheminformatics9
turbo9
molecule9
stimulusjs9
hotwire9
segmentation9
bioinformatics9
medicine9
visual-recognition9
zarr9
conda9
finance9
object-detection8
pdb-files8

Programming languages (9)

TypeScriptShellC++RustJavaScriptJupyter NotebookCythonRuby

Github contributions (5)

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polaris-hub/polaris

Nov 2023 - Oct 2025

Foster the development of impactful AI models in drug discovery.
Contributions:326 reviews, 79 PRs, 261 pushes in 1 year 11 months
ai
A conda-smithy repository for polaris.
Contributions:4 reviews, 30 PRs, 28 pushes in 1 year 5 months
conda
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