26th Annual Meeting of the German Society for Immunogenetics (DGI)

Thanks to all of you who visited the DGI meeting in wonderful Freiburg from September 6th to September 8th 2018.

We are also happy, that there were so many interesting abstracts about epitope matching and specially thank all authors for their contribution in the field:

  • O-4: “Impact of eplets on antibody formation during pregnancy”, Rene Duquesnoy (Pittsburgh, USA), Marilyn Marrari (Pittsburgh, USA), Matthias Niemann (Berlin), Irene Hösli (Basel, Switzerland), Stefan Schaub (Basel, Switzerland), Gideon Hönger (Basel, Switzerland)
  • O-21: “Computational simulations demonstrate the feasibility and benefit of epitope matching in deceased donor kidney allocation”, Matthias Niemann (Berlin), Kirsten Geneugelijk (Utrecht, Niederlande), Nils Lachmann (Berlin), Oliver Staeck (Berlin), Eric Spierings (Utrecht, Niederlande)
  • O-22: “Prediction of antibody- and cell-mediated rejection of kidney transplants by HLA epitope matching”, Nils Lachmann (Berlin), Matthias Niemann (Berlin), Oliver Staeck (Berlin), Klemens Budde (Berlin), Eric Spierings (Utrecht, Niederlande), Axel Pruß (Berlin), Constanze Schönemann (Berlin)
  • P-6: “Association between PIRCHE and clinical outcome in patients with acute leukemia or myelodysplastic syndrome after haplo-SCT”, Alessia Fraccaroli (München), Andrea Dick (München), Matthias Niemann (Berlin), Teresa Kauke (München), Johanna Tischer (München), Andreas Humpe (München)
Matthias Niemann

Matthias Niemann

Matthias holds a Masters degree in Computer Science with a major in software engineering and a minor in Bioinformatics from Berlin University (Freie Universität). While working at Charité University Hospital in Berlin, he developed a database for kidney transplantation data and worked on various laboratory information systems and research databases. His research at Charité focused on epitope matching models and machine learning. He was instrumental in the implementation methods to increase data quality.
Since fall 2014 he focuses at PIRCHE on further improving the PIRCHE algorithm and investigating the technology's power in new domains.
Matthias Niemann