Tomáš Brůna is a genome data scientist with 11 years of experience blending computer science, data science, and biology, currently working at Berkeley Lab and completing a PhD in Bioinformatics at Georgia Tech. He has led development of state-of-the-art gene prediction tools (BRAKER2, GeneMark-EP+) and designed algorithms for long-read RNA-Seq analysis used across diverse eukaryotic genomes. Prior roles include building scalable, cloud-based variant analysis pipelines for clinical use at Philips and inventing a graph-based clustering algorithm (Chameleon 2) during early research work. Based in Berkeley, he pairs rigorous academic training (MS/PhD with top grades) and practical production software experience, bringing research code into widely adopted bioinformatics tools. An understated strength is his ability to move from algorithm design to deployable pipelines that serve both researchers and clinicians.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Software Engineering, 3.77, Bachelor of Science (B.Sc.), Computer Software Engineering, 3.77 at Czech Technical University in Prague
Master of Science - MS, Bioinformatics, 4.0, Master of Science - MS, Bioinformatics, 4.0 at Georgia Institute of Technology
Computer Software Engineering, 3.74, Computer Software Engineering, 3.74 at Milwaukee School of Engineering
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