Floris-jan Willemsen
Postdoctoral Researcher at Universiteit Leiden
Randstad, Netherlands
Summary
👤
Senior🎓
Top SchoolFloris-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.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computerwetenschappen, Master of Science - MS Computerwetenschappen at Vrije Universiteit Amsterdam (VU Amsterdam)Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Leiden UniversityDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of AmsterdamBachelor 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
English, German, Dutch
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (115)
auto-tuning10
python10
testing10
constraint10
gpu10
tuner10
optimization10
opencl10
utm10
jailbreak10
kernel10
cuda10
gpu-programming10
machine-learning10
qemu9
Programming languages (9)
Github contributions (5)
fjwillemsen/ALPHA-Q
Oct 2016 - Feb 2017
Contributions:177 pushes, 2 branches in 3 months
AutoTuningAssociation/autotuning_methodology
Jul 2022 - Mar 2025
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, 216 pushes in 2 years 9 months
auto-tuningmethodologyoptimization-algorithmsperformance-comparisonperformance-metrics
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