Kamila Zdybał
Postdoctoral Researcher at Empa
Zürich Metropolitan Area Switzerland
Summary
👤
Senior🎓
Top SchoolKamila Zdybał is a data-driven postdoctoral researcher with nine years of experience applying machine learning and reduced-order modeling to fluid and reacting flow problems. She develops reinforcement-learning agents for experimental fluid dynamics and has delivered invited lectures and training on ML methods—from t-SNE and neural networks to dimensionality reduction—at institutions including ULB, Stanford Medicine, and the University of Utah. Her background blends hands-on software practice (Python, PyTorch, SLURM, Jupyter) with rigorous applied research in turbulent combustion and manifold-based model reduction. Based in the Zürich area, she pairs academic rigor with practical engineering roots from wind-tunnel testing and telecom software testing, and is known for bringing interpretability and efficiency to high-dimensional flow data. Off the clock she enjoys jazz, baking apple pies, and the aesthetics of camelCase.
9 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Civil Engineering, Bachelor’s Degree, Civil Engineering at Politechnika Krakowska im. Tadeusza KościuszkiProfile: Mathematics and Physics, Profile: Mathematics and Physics at II Liceum Ogólnokształcące im. Króla Jana III Sobieskiego w Krakowie
English, Polish, French
Stackoverflow
323reputation
2.3mreached
3answers
3questions
Github Skills (26)
morse9
macos6
fileio6
heatmap6
newline6
windows6
linux6
python6
activation-function6
seaborn6
javascript6
csharp5
editor5
electron5
text-editor4
Programming languages (3)
Github contributions (5)
ElsevierSoftwareX/SOFTX-D-20-00048
Feb 2020 - Nov 2020
Contributions:519 commits in 9 months
burn-research/PCAfold
Dec 2020 - Jan 2022
Contributions:289 commits, 2 branches, 1 tag in 1 year 1 month
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