Summary
Joseph Somody is a Lead Scientific Software Developer and computational biologist with 11 years of international experience combining deep learning, structural biology, and production software engineering. He completed a PhD at EMBL Heidelberg where he built scalable bioinformatics pipelines to analyze 40 TB of cryo-ET data, applying CNNs for denoising, particle picking and structure discovery—skills he now applies to pharma and consulting problems. Proficient in Python (RDKit, Biopython), PyTorch, cloud and HPC workflows, SQL, and containerized deployment, he bridges research and production environments to deliver reproducible, high-throughput solutions. He has a track record of translating complex methods into client-facing tools from his startup and consultancy work, and is experienced in stakeholder management and large-team project delivery. A less obvious strength is his habit of marrying rigorous experimental genomics insights with pragmatic software design, enabling novel biology to be productized efficiently.
12 years of coding experience
9 years of employment as a software developer
Summer School, Summer School at University of Szeged
Honours Bachelor of Science (Hon. B.Sc.) Bioinformatics and Computational Biology, Honours Bachelor of Science (Hon. B.Sc.) Bioinformatics and Computational Biology at University of Toronto
Research Visit, Research Visit at Fudan University
Doctor of Science (Dr. rer. nat.), Doctor of Science (Dr. rer. nat.) at The Julius Maximilians University of Würzburg
Master of Science (M.Sc.) Computational Biology & Bioinformatics, Master of Science (M.Sc.) Computational Biology & Bioinformatics at ETH Zürich
English, French, Hungarian, German