Mateusz Kaduk is a bioinformatician with over two decades of research and engineering experience, currently developing algorithms and deep-learning models for next-generation sequencing at Karolinska Institutet. He combines a PhD in Bioinformatics with hands-on expertise in Python/PyTorch, Julia (contributor to FluxML), and cloud platforms to build classifiers and segmentation tools for immunogenomics and to discover novel gene segments via graph and motif-based methods. His work bridges classical statistical approaches—Bayesian models and network inference—with modern generative and NLP-inspired architectures applied to biological sequences. Comfortable moving between tooling and theory, he has a track record of translating methodological advances from PhD projects in orthology and phylogenetics into production-ready bioinformatics software.
21 years of coding experience
8 years of employment as a software developer
Master of science, Biotechnology, Master of science, Biotechnology at University of Warsaw
Master of science, Biotechnology, Master of science, Biotechnology at Umeå University
Researcher, Biostatistics, Researcher, Biostatistics at University of Amsterdam
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at Stockholm University
Deep Learning Models Repository for Immunoglobulin Receptor VDJ Sequences
Contributions:25 PRs, 83 pushes, 26 branches in 18 days
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