Anthony Gitter

Anthony Gitter

Jeanne M. Rowe Chair in Virology

Area:

Phone:

(608) 316-4442

Email:

[javascript protected email address]

Research website

Our computational research spans many biomedical application areas. One common theme is using biological networks to connect diverse data and provide a cohesive view of a cellular process. We develop new computational methods and work with collaborators to apply them to study specific conditions and diseases, especially viral infection and cancer. We also use machine learning to guide high-throughput biological experiments for drug discovery and protein engineering.

Education

Ph.D., 2012, Carnegie Mellon University

Selected Publications

  • Network inference with Granger causality ensembles on single-cell transcriptomics. Atul Deshpande, Li-Fang Chu, Ron Stewart, Anthony Gitter. Cell Reports. 38:6, 2022.
  • Biophysics-based protein language models for protein engineering. Sam Gelman, Bryce Johnson, Chase R Freschlin, Arnav Sharma, Sameer D’Costa, John Peters, Anthony Gitter, Philip A Romero. Nature Methods. 22:9, 2025.
  • Evaluating scalable supervised learning for synthesize-on-demand chemical libraries. Moayad Alnammi, Shengchao Liu, Spencer S Ericksen, Gene E Ananiev, Andrew F Voter, Song Guo, James L Keck, F Michael Hoffmann, Scott A Wildman, Anthony Gitter. Journal of Chemical Information and Modeling. 63:17, 2023.