Thank you JCI insight for highlighting our collaborative work with Corrine Kliment using interpretable #ML approaches to uncover a novel role for GSN in #COPD. We used a range of approaches including a recent flagship method from our lab - SLIDE (nature.com/articles/s4159…).

Check out our recent paper in JCI insight where we use interpretable #ML to uncover signatures of pathogenesis in localized #scleroderma (#morphea). insight.jci.org/articles/view/…

Check out our recent review in Molecular Therapy Family of Journals about how machine learning approaches enable the discovery of therapeutics across domains cell.com/molecular-ther…. We cover a range of #ML techniques with wide applications to #cellulartherapy.

I came to the US in 2010 as a PhD student & it transformed my life. Privileged to lead (since 2020) a #systems #immunology lab comprising an incredible group of men & women. This country gave me opportunities I couldn't have dreamed of elsewhere. Proud #US citizen. Happy 4th all!

For CSI COSI, I am very thankful to my co-chair Jishnu Das and steering committee Yuri Pritykin , H Ulku Osmanbeyoglu, Aly Azeem Khan. And everyone who submitted their for consideration for this session iscb.org/ismbeccb2025/p…

Full house to start the new #CSI COSI at ISMB 2025 that Ferhat Ay and I are co-chairing. Looking forward to a great set of talks!

Today in Nature Methods, we define a new lexicon for protein/peptide interactions. SWING is a generalizable zero-shot interaction #language_model that outperforms pLMs in multi-context predictions of the impact of genetic variation on interactions. #ML nature.com/articles/s4159…

Thanks a lot Nature Methods for highlighting SWING, a generalizable biologically-inspired interaction #language_model that learns that lexicon of peptide and protein interactions & the impact of #genetic #variation on these interactions. #ML

Pittsburgh group presenting at the 19th International Workshop on Scleroderma Research! PittRheum PittDeptofMed Jishnu Das

Read the Research Briefing on SWING, here! nature.com/articles/s4159…

Thank you very much Nature Methods for this Research Highlight describing our new interaction language model, SWING, that learns the lexicon of protein and peptide interactions. nature.com/articles/s4159…

Today our nick funded #COWG Computational Oncology Working Group monthly meetings welcome my dear colleague Jishnu Das Computational & Systems Biology at Pitt - On his lab's amazing work in pushing the boundary of #deeplearning, #systembio, and #compImmunology!!! #GRN #networkbiology #machinelearning

Thrilled to share my promotion to Associate Professor with tenure at Pitt Department of Immunology! Huge thanks to my incredible lab, collaborators, department, colleagues, family & friends. Science is a team effort, and I'm so proud of our work & excited for what's next! Stay tuned!

Excited to present SpaceTravLR, a new framework to uncover functional spatial microniches across contexts. We learn how individual & combinatorial genetic changes rewire regulation & cell-intrinsic + cell-extrinsic signaling across space in tissues. biorxiv.org/content/10.110… (1/2)

SpaceTravLR learns these functional microniches from spatial transcriptomics without perturbation data for training. Our interpretable ML approach provides testable hypotheses that were experimentally validated. SpaceTravLR generalizes across tissues, species & platforms. (2/2)