Daniel Kowalczyk is an AI Research Developer with a decade of experience blending rigorous mathematics and applied machine learning to craft elegant solutions for complex problems. Trained with dual PhDs and a strong record of postdoctoral fellowships (including a Marie Curie Eurotech fellowship), he moves seamlessly between theoretical research and practical AI development. His background in differential geometry and statistics informs a principled approach to modeling, while fluency in Python, C(++), LaTeX, Maple and Mathematica enables rapid prototyping and reproducible results. At Camco Technologies he applies academic depth to industry problems, building on prior roles at KU Leuven and Eindhoven University of Technology. Colleagues describe him as quick to grasp new concepts and productive both independently and in team settings. Based in Sint-Truiden, Belgium, he combines scholarly rigor with a pragmatic engineering mindset that often finds unexpectedly simple formulations for thorny technical challenges.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Business Economics, Doctor of Philosophy - PhD, Business Economics at KU Leuven
Bachelor, Mathematics, Magna cum Laude, Bachelor, Mathematics, Magna cum Laude at Universiteit Hasselt
Master, Mathematics, Magna cum laude, Master, Mathematics, Magna cum laude at Katholieke Universiteit Leuven
Contributions:162 commits, 10 pushes, 2 branches in 1 year 9 months
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