Floris Hermsen

Senior Director Head Of Data Science & AI, Global Operations

Amsterdam, North Holland, Netherlands
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Summary

👤
Senior
🎓
Top School
Floris Hermsen is a technology and AI leader with over a decade of experience building data-driven products and platforms, currently serving as Senior Director and Head of Data Science & AI for Global Operations at Elsevier. He combines a physics and information studies background with hands-on ML, NLP and Document AI expertise to lead multi-million dollar (Gen)AI portfolios that deliver operational efficiencies and $MM+ in savings and revenue. Known for bridging product, engineering and business, he has scaled teams across continents, moved pipelines from batch to event-driven architectures, and governed AI in regulated environments. Earlier roles at Owlin and ING show deep applied research—proprietary streaming entity graph embeddings and risk-ranking algorithms—that translated into commercial impact for clients like KPMG and ING. Based in Amsterdam, he pairs strategic executive engagement with a maker’s instinct, often rolling up his sleeves to turn novel research into production systems.
code10 years of coding experience
job11 years of employment as a software developer
bookVWO (Gymnasium / Grammar School), VWO (Gymnasium / Grammar School) at Stedelijk Gymnasium Johan van Oldenbarnevelt
bookBachelor, Physics, Bachelor, Physics at Utrecht University
bookMaster of Science - MS, Information Studies (Data Science), Master of Science - MS, Information Studies (Data Science) at University of Amsterdam
languagesDutch, English, German, French
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Github Skills (25)

graph-algorithms10
network-analysis10
graph-analysis10
graph-visualization10
graph-theory10
python9
complex-networks9
wolfram-language9
cpp8
high-performance8
physics8
alice8
sql7
database7
sql-database6

Programming languages (4)

C++CJupyter NotebookPython

Github contributions (5)

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florishermsen/flowAnalysis

Mar 2018 - Feb 2023

Contributions:27 pushes, 3 branches in 4 years 11 months
florishermsen/L-GCN

Jun 2019 - Feb 2023

End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks
Contributions:37 commits, 30 pushes, 5 branches in 3 years 8 months
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