Karel Dumon

Portfolio Manager at imec

Belgium
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Summary

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Senior
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Karel Dumon is a portfolio manager and R&D leader with nine years of experience applying physics, machine learning and software engineering to quantum computing, alternative computing and photonics. He blends research training—summa cum laude in Engineering Physics and atomistic simulation experience—with startup grit as co-founder and former Head of Software at Miraex. At imec and Ghent University he now steers projects and operations for quantum communications and the BeQCI photonics initiative, translating deep technical concepts into funded programs and tangible roadmaps. His background in strategy consulting and high-throughput quantum simulations gives him a rare combination of commercial sense and first-principles modeling. Colleagues know him for moving fluidly between hands-on ML/quantum tool development and high-level portfolio strategy. Based in Belgium, he is motivated by using the mathematical language of nature to build technology for a better tomorrow.
code9 years of coding experience
job11 years of employment as a software developer
bookBachelor & Master of Science (MS), Engineering Physics, Bachelor & Master of Science (MS), Engineering Physics at Ghent University
bookCDL Toronto - Quantum Stream, CDL Toronto - Quantum Stream at Creative Destruction Lab
bookSummer School on Atomistic Simulation Techniques, Summer School on Atomistic Simulation Techniques at Scuola Internazionale Superiore di Studi Avanzati di Trieste
languagesDutch, English, French, German
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Stackoverflow

Stats
755reputation
59kreached
7answers
4questions
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Github Skills (39)

pytorch10
python10
data-science10
machine-learning10
deep-learning10
tensorflow10
jax10
minimum8
wave7
placement7
quantum-computing6
gurobi6
quadratic6
keras6
lstm6

Programming languages (4)

qMaxJupyter NotebookPython

Github contributions (5)

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BoschSamuel/QizGloria

Sep 2019 - Oct 2020

Qiskit Camp Europe 2019 (winning project)
Contributions:6 commits, 16 pushes, 1 branch in 1 year
qiskit
dumkar/learning-to-learn-qnn

Jul 2019 - Aug 2019

Learning-to-learn for QNNs: learning few-shot optimization of quantum neural networks with classical neural networks
Contributions:10 commits, 1 PR, 3 pushes in 1 month
neural-network
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