Pawel Gancarski
Chief Data Scientist
Greater Pamplona Area Spain
Summary
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Senior🎓
Top SchoolPawel Gancarski is a Chief Data Scientist with nine years of experience bridging academic research and applied engineering in wind energy and drug discovery. He specializes in designing and prototyping scientific software, from CFD meshing tools for complex terrain to ligand–protein docking pipelines, and brings strong skills in data standardisation, AI/ML modelling and reproducible workflows. At CENER he led development of fit-for-purpose simulation tools, data repositories and open-data publishing solutions integrated with European research infrastructures, and now applies that same rigor to software for drug discovery at Cancerappy. Holding a PhD in Computer Science, he combines formal verification training with hands-on numerical modelling, making him adept at solving challenging computational problems where correctness and scalability matter. Based in the Greater Pamplona area, he is passionate about turning research-grade algorithms into production-ready, auditable scientific software.
9 years of coding experience
12 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Trinity College DublinComputer Science, Computer Science at University of WroclawMSc Grid Computing, MSc Grid Computing at Cranfield University
Github Skills (35)
autodock10
openfoam9
openbabel9
computational-biology8
generative-model8
simulation7
denoising7
rdkit7
cheminformatics7
drug-discovery7
protein-structure7
jupyter-notebook7
diffusion-probabilistic6
mdanalysis6
golem5
Programming languages (3)
Github contributions (5)
CENER-EPR/OWAbench_obsolete
Jul 2019 - Apr 2020
Contributions:1 release, 3 pushes, 1 tag in 9 months
wind-energy/Windaco
Jan 2019 - Jul 2019
Python converter for Wind datasets.
Contributions:12 pushes, 2 branches in 6 months
pythonwinddatasetdatasetsenergy
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