Postdoctoral Researcher at Sano Centre for Computational Medicine
Krakow, Lesser Poland Voivodeship
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Summary
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Senior
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Top School
Paweł Szczerbiak is a postdoctoral researcher and seasoned AI-focused software engineer with eight years of experience applying deep learning and statistical methods to structural bioinformatics and microbiome research. He develops production-grade frameworks for protein function annotation and large-scale structure prediction, and co-mentors junior scientists while bridging academic research with translational bioinformatics for live biotherapeutics. With a PhD in elementary particle physics and a background spanning theoretical physics, financial product engineering, and HPC-enabled Python development, he combines rigorous mathematical thinking with practical software engineering. Based in Krakow, he is equally comfortable teaching machine learning and building ML pipelines, and is known for tackling orphan protein sequences and creating representative atlases of human gut microbiome proteins—projects that reveal a knack for turning complex biological data into actionable computational resources.
8 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering - BE, Technical Physics, Bachelor of Engineering - BE, Technical Physics at Politechnika Łódzka
Doctor of Philosophy - PhD, Elementary Particle Physics, Doctor of Philosophy - PhD, Elementary Particle Physics at Uniwersytet Warszawski
Convert mmCIF to PDB protein structure file format
Contributions:1 PR, 13 pushes, 3 branches in 2 years 4 months
file-formatpdbpdb-filesmmcifstructural-biology
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Paweł Szczerbiak - Postdoctoral Researcher at Sano Centre for Computational Medicine