Dr.-Ing. Jan Voges
Jan Voges left the Institut für Informationsverabeitung.
Publications and research activities from the time after the departure are not listed here.

Jan Voges studied electrical engineering at Leibniz University Hannover, majoring in communications engineering. He received his Dipl.-Ing. degree from Leibniz University Hannover 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 genomics data. In 2018, he worked as a visiting scientist at the Carl R. Woese Institute for Genomic Biology at the University of Illinois Urbana-Champaign, where he contributed to a project to automate and accelerate the analysis of DNA sequencing data at Mayo Clinic. In 2022, he received his Dr.-Ing. degree — passed with distinction — from Leibniz University Hannover for his work on Compression of DNA Sequencing Data. Since 2022, he is leader of the Genomic Data Science group at Institute for Information Processing / L3S at Leibniz University Hannover. His research focuses on machine learning, bioinformatics and computational biology. He has a special interest in international standardization, proposal writing, project management, IP generation and software engineering.

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  • Fabian Müntefering, Yeremia Gunawan Adhisantoso, Shubham Chandak, Jörn Ostermann, Mikel Hernaez, Jan Voges
    Genie: the first open-source ISO/IEC encoder for genomic data
    Communications Biology, Vol. 7, No. 553, May 2024, edited by Akhtar, Anam; Inglis, George; Grinham, Luke R.
  • Hannah Benedictine Maier, Alexandra Neyazi, Gabriel L. Bundies, Fiona Meyer-Bockenkamp, Stefan Bleich, Hansi Pathak, Yvonne Ziert, Barbara Neuhaus, Franz-Josef Müller, Iris Pollmann, Thomas Illig, Stefanie Mücke, Meike Müller, Brinja Kira Möller, Steffen Oeltze-Jafra, Tim Kacprowski, Jan Voges, Fabian Müntefering, Josef Scheiber, Andreas Reif, Mareike Aichholzer, Christine Reif-Leonhard, Maren Schmidt-Kassow, Ulrich Hegerl, Hanna Reich, Stefan Unterecker, Heike Weber, Jürgen Deckert, Nicole Bössel-Debbert, Hans J. Grabe, Michael Lucht, Helge Frieling
    Validation of the predictive value of BDNF -87 methylation for antidepressant treatment success in severely depressed patients—a randomized rater-blinded trial
    Trials, Vol. 25, No. 247, April 2024
  • Christian Rohlfing, Thibaut Meyer, Jens Schneider, Jan Voges
    Python Wrapper for Context-based Adaptive Binary Arithmetic Coding
    2023 IEEE International Conference on Visual Communications and Image Processing (VCIP), December 2023