Dario Ghersi

College of Information Science and Technology, University of Nebraska at Omaha

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The Peter Kiewit Institute 173B

1110 S. 67th Street

Omaha, NE 68182

My laboratory is broadly focused on developing and using computational approaches to understand life at the molecular level. I am particularly interested in exploring large-scale cancer genomics datasets, integrating different types of data to gain insights into the molecular bases of cancer and immune system function.

Ongoing projects in my lab:

  • Developing computational approaches to model and characterize the T Cell Receptor/pMHC complex, one of the key components of our immune system

  • Building machine learning infrastructure to automatically annotate pathology slides (collaboration with the Ligorio Lab)

  • Agent-based modeling of complex biological systems

  • Fragment-based drug discovery

selected publications

  1. Engineering an ACE2-Derived Fragment as a Decoy for Novel SARS-CoV-2 Virus
    Fabiana Renzi, Austin Seamann, Koelina Ganguly, and 5 more authors
    ACS pharmacology & translational science, 2023
  2. Computational Methods for Predicting Key Interactions in T Cell–Mediated Adaptive Immunity
    Ryan Ehrlich, Eric Glynn, Mona Singh, and 1 more author
    Annual Review of Biomedical Data Science, 2024
  3. VIPER: Virus Inhibition Via Peptide Engineering and Receptor Mimicry
    Anna Sophie Klingenberg, and Dario Ghersi
    Journal of Computational Biology, 2025
  4. TRain: T-cell receptor automated immunoinformatics
    Austin Seamann, Maia Bennett-Boehm, Ryan Ehrlich, and 3 more authors
    BMC Bioinformatics, 2025
  5. Toward equitable major histocompatibility complex binding predictions
    Eric Glynn, Dario Ghersi, and Mona Singh
    Proceedings of the National Academy of Sciences, 2025