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

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:
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Developing computational approaches to model and characterize the T Cell Receptor/pMHC complex, one of the key components of our immune system
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Building machine learning infrastructure to automatically annotate pathology slides (collaboration with the Ligorio Lab)
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Agent-based modeling of complex biological systems
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Fragment-based drug discovery
selected publications
- Engineering an ACE2-Derived Fragment as a Decoy for Novel SARS-CoV-2 VirusACS pharmacology & translational science, 2023
- Computational Methods for Predicting Key Interactions in T Cell–Mediated Adaptive ImmunityAnnual Review of Biomedical Data Science, 2024
- VIPER: Virus Inhibition Via Peptide Engineering and Receptor MimicryJournal of Computational Biology, 2025
- TRain: T-cell receptor automated immunoinformaticsBMC Bioinformatics, 2025
- Toward equitable major histocompatibility complex binding predictionsProceedings of the National Academy of Sciences, 2025