Jan Voges studied electrical engineering at Leibniz University Hannover, specializing in communications engineering, and received his Dipl.-Ing. degree in 2015. After graduation, he joined the Institute for Information Processing at Leibniz University Hannover as a Research Assistant, where he pioneered the compression and standardization of genomic data. In 2018, he was a Visiting Scientist at the Carl R. Woese Institute for Genomic Biology at the University of Illinois Urbana-Champaign, contributing to a collaborative project with the Mayo Clinic aimed at automating and accelerating DNA sequencing data analysis. He was awarded his Dr.-Ing. degree with distinction in 2022 from Leibniz University Hannover for his doctoral thesis on the Compression of DNA Sequencing Data. From 2022–2024, he was Research Group Leader of the Genomic Data Science group (3 PhD students) at the Institute for Information Processing and the L3S Research Center at Leibniz University Hannover, focusing on DNA sequencing data compression, DNA data storage, high-throughput nanopore sequencing data processing, and 3D genome reconstruction. From 2024–2025, he was Senior Research Scientist at CIMA University of Navarra and Instituto de Investigación Sanitaria de Navarra, where he expanded his research to include modeling of single-cell RNA sequencing data. Since 2024, he has also been a Visiting Scientist at the Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School. In 2025, he returned to the Institute for Information Processing and the L3S Research Center at Leibniz University Hannover as Research Group Leader of the BioAI Lab (3 PhD students), where his research focuses on developing AI methods for multi-omics data analysis and their application in biomedicine. He has a special interest in international standardization, proposal writing, project management, IP generation, and software engineering.