Floris-jan Willemsen

Postdoctoral Researcher at Universiteit Leiden

Randstad, Netherlands
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Summary

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Floris-jan Willemsen is a GPU-focused postdoctoral researcher with a decade of software engineering experience, specializing in automated, intelligent optimization of scientific GPU software. His PhD work—sponsored by the Netherlands eScience Center and conducted in collaboration with research software engineers—applied Bayesian optimization and transfer learning to autotuning real-world GPU kernels. He has complemented his academic work with hands-on engineering across startups and industry, from full-stack web projects to embedded mesh-network prototypes, giving him a pragmatic systems perspective. A visiting researcher at Santa Clara University and MIT, he blends rigorous experimentation with tooling and reproducible research practices. Based in the Randstad, he combines deep domain knowledge of complex search spaces with an ability to translate that into deployable optimization workflows. Unexpectedly, his background includes customer-facing roles and webshop management, which informs a user-centric approach to research software.
code10 years of coding experience
job5 years of employment as a software developer
bookMaster of Science - MS Computerwetenschappen, Master of Science - MS Computerwetenschappen at Vrije Universiteit Amsterdam (VU Amsterdam)
bookDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Leiden University
bookDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Amsterdam
bookBachelor of Science - BS Informatica (Software engineering) / Hogere opleiding Software engineer, Bachelor of Science - BS Informatica (Software engineering) / Hogere opleiding Software engineer at Rotterdam University of Applied Sciences
languagesEnglish, German, Dutch
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Github Skills (95)

auto-tuning10
python10
testing10
windows10
gpu10
optimization10
opencl10
overleaf10
linux10
desktop-application10
jailbreak10
kernel10
cuda10
macos10
machine-learning10

Programming languages (11)

TypeScriptPowerShellRustCJavaScriptGoSwiftJupyter Notebook

Github contributions (5)

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fjwillemsen/PhD-autotuning

Sep 2021 - Sep 2025

Encompassing repository for software written or used, as well as data generated or used in the context of my PhD research.
Contributions:2 releases, 5 PRs, 51 pushes in 4 years
reproducabilitysupercomputinggpuoptimizationevaluation
This software package accompanies the paper "A Methodology for Comparing Auto-Tuning Optimization Algorithms" (https://doi.org/10.1016/j.future.2024.05.021), making the guidelines in the methodology easy to apply.
Contributions:8 releases, 2 PRs, 240 pushes in 3 years 7 months
auto-tuningmethodologyoptimization-algorithmsperformance-comparisonperformance-metrics
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