We currently have several federally funded projects focusing on infectious diseases as well as autoimmune and alloimmune disorders. These projects include the development and use of novel machine learning and network systems approaches for the characterization of immunomodulatory mechanisms. Recent examples of method development work from our lab: https://www.nature.com/articles/s41592-024-02175-z and https://www.nature.com/articles/s41592-025-02723-1. Recent examples of applied work from our lab: https://www.cell.com/cell-reports/fulltext/S2211-1247(24)01281-6, https://acrjournals.onlinelibrary.wiley.com/doi/10.1002/art.70091 and https://www.nature.com/articles/s41467-026-75559-8.
Our research focuses on the development and use of novel systems approaches to analyze high-dimensional datasets and elucidate molecular mechanisms of immunomodulation in a wide range of contexts . We are currently working on using network systems and functional genomic approaches to perform multi-scale integration of genomic and epigenomic datasets with biological networks to identify molecular phenotypes underlying these immunological disorders. We also use statistical and machine-learning techniques to integrate multi-omic datasets (genomic, transcriptomic, proteomic, metabolomic and antibody-omic) and elucidate molecular mechanisms of immune regulation and dysregulation.
The Jishnu Lab: www.jishnulab.org