Edwin De Jong
Principal Machine Learning Scientist at Aignostics
Wageningen, Gelderland, Netherlands
Summary
👤
Senior🎓
Top SchoolEdwin De Jong is a Principal Machine Learning Scientist with nine years focused on medical AI and a long career building ML systems across finance, supply chain, and startups. He has driven production-grade medical foundation models and contributed to FDA-approved products and ScreenPoint’s Transpara, a tool credited with reducing radiologist workload and improving cancer detection in large clinical trials. At Kaiko and now Aignostics he has led multimodal pathology model training at scale, combining deep representation learning with cloud-native data engineering. His background spans academic PhD research through entrepreneurial founder experience, giving him a rare blend of theoretical rigor and product delivery. Colleagues know him for evaluating model robustness in pathology FMs and for turning cutting-edge research into deployable clinical impact.
9 years of coding experience
26 years of employment as a software developer
M.Sc., Computer Science, M.Sc., Computer Science at Delft University of TechnologyPhD, Artificial Intelligence, PhD, Artificial Intelligence at Vrije Universiteit Brussel
Github Skills (24)
mixture8
stroke8
digit8
mnist7
generative7
sequence6
data-set6
transform5
lstm5
benchmark4
extraction4
machine-learning4
deep-learning4
keras4
pen4
Programming languages (1)
Github contributions (5)
edwin-de-jong/edwin-de-jong.github.io
Sep 2016 - Sep 2024
Contributions:93 pushes, 2 branches, 1 comment in 8 years
edwin-de-jong/mnist-digits-as-stroke-sequences
Sep 2016 - Sep 2016
Contributions:10 commits, 3 PRs, 8 pushes in 14 days
benchmark-datasequencedigitstrokesdata-set
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