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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  • Yeremia Gunawan Adhisantoso, Tim Körner, Fabian Müntefering, Jörn Ostermann, Jan Voges
    HiCMC: High-Efficiency Contact Matrix Compressor
    BMC Bioinformatics, September 2024
  • 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.
  • Hamidreza Maharlou, Nicole Bössel-Debbert, Michael Lucht, Hannah B. Maier, Stefanie Mücke, Fabian Müntefering, Barbara Neuhaus, Jana Prokein, Christine Reif-Leonhard, Jan Voges, Heike Weber, Antoine Weihs, Helge Frieling, Steffen Oeltze-Jafra
    Cooperative Design of a Dashboard for Monitoring the P4D Cohort Study on Major Depression
    EuroVisPosters2024, May 2024