Tomasz Jetka is a mathematician-turned-bioinformatician and AI leader with eight years of hands-on experience applying data science to drug discovery and preclinical development. He has led bioinformatics and AI teams across industry roles—most notably building Insilico’s PandaOmics engine and steering preclinical efforts on a first-in-class AI-derived TNIK inhibitor—while scaling AI offerings for pharma clients at Ardigen and now shaping AIxBio for clinical development at Ingenix.ai. His work spans omics, imaging, lab automation and ML engineering, combining deep theoretical contributions in multidimensional information theory with practical pipelines in Python, PyTorch, R and nextflow. Comfortable moving between research, engineering and business, he has run multinational projects integrating automation vendors, HTS and sequencing workflows—bringing rare expertise in closing the loop from datasets to automated biology.
8 years of coding experience
13 years of employment as a software developer
Doctor's Degree Biomathematics Bioinformatics and Computational Biology, Doctor's Degree Biomathematics Bioinformatics and Computational Biology at Polish Academy of Sciences
Master of Science (MSc) Applied Mathematics Computational Biology, Master of Science (MSc) Applied Mathematics Computational Biology at University of Warsaw
Multi-/Interdisciplinary Studies General, Multi-/Interdisciplinary Studies General at 13th High School, Szczecin
Contributions:3 pushes, 1 branch in 3 years 5 months
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