Jishnu Das
@jishnu1729
Asst Prof - Univ of Pittsburgh SOM (http://bit.ly/3rHVCqh). Systems immunologist. Views world as networks at different scales. 'Transformed' engineer. Avid reader.
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Thank you @PittHealthSci for highlighting our recent @NIAIDFunding DP2 award (reporter.nih.gov/search/6m04Xm5…), @NIH_CommonFund DP2 awards for awesome Pitt colleagues @DKemaladewi @YinanGong @GuangLiPitt and the Transformative Research Award for the fantastic @donnelly_lab (1/2).
Thrilled to share my promotion to Associate Professor with tenure at @pitt_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!
Congratulations to Dr. Amanda Poholek @poholeklab for her promotion to Associate Professor with tenure! Learn more about Dr. Poholek and her research: buff.ly/q14wey8
Today our @NCI funded #COWG Computational Oncology Working Group monthly meetings welcome my dear colleague @jishnu1729 @compbiopitt - On his lab's amazing work in pushing the boundary of #deeplearning, #systembio, and #compImmunology!!! #GRN #networkbiology #machinelearning…
Thank you very much @naturemethods for this Research Highlight describing our new interaction language model, SWING, that learns the lexicon of protein and peptide interactions. nature.com/articles/s4159…
Read the Research Briefing on SWING, here! nature.com/articles/s4159…
Read the Research Briefing on SWING, here! nature.com/articles/s4159…
Introducing SWING, a versatile interaction language model that predicts peptide and protein interactions. @jishnu1729 nature.com/articles/s4159…
Pittsburgh group presenting at the 19th International Workshop on Scleroderma Research! @PittRheum @PittDeptofMed @jishnu1729
Thanks a lot @naturemethods 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
Introducing SWING, a versatile interaction language model that predicts peptide and protein interactions. @jishnu1729 nature.com/articles/s4159…
Today in @naturemethods, 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…
Full house to start the new #CSI COSI at ISMB 2025 that @ferhatay and I are co-chairing. Looking forward to a great set of talks!
For CSI COSI, I am very thankful to my co-chair @jishnu1729 and steering committee @YuriPritykin , @haticeulku, Aly Azeem Khan. And everyone who submitted their for consideration for this session iscb.org/ismbeccb2025/p…
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!
Check out our recent review in @MolTherapy 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.
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/…
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…).
Can machine learning provide new insight into COPD? insight.jci.org/articles/view/… Justin Sui, Hanxi Xiao et al use this approach to identify Gelsolin as a player in disease. @corrine_kliment @jishnu1729 @compbiopitt @PittDeptofMed @PACCSM
If you're at @ASTMH #TropMed24 do add our Systems Immunology of Tropical Diseases symposium (138) to your schedule for Sat Nov 16th. Speakers include @nadegenziza, Dr Elizabeth Aitken & my co-chair @jishnu1729. Exciting talks across AI/ML, Malaria, TB & NTDs incl Schistosomiasis.
Thank you @CellReports for highlighting our work showing how #protein #networks with structural resolution can identify #immunomodulatory variants in infectious disease. Key coding variants often missed by conventional #GWAS can be picked up by our approach.
Uncovering cell-type-specific immunomodulatory variants and molecular phenotypes in COVID-19 using structurally resolved protein networks dlvr.it/TG1HSf
Uncovering cell-type-specific immunomodulatory variants and molecular phenotypes in COVID-19 using structurally resolved protein networks dlvr.it/TG1HSf
Super fun collaboration with @poholeklab now out in Nature Immunology - nature.com/articles/s4159… . We use interpretable #machine_learning to help identify spatial microniches of IL2 in a murine model of allergic #asthma.
What a week with two publications from our lab! Spatial microniches of IL-2 drive lung migratory Th2 cells to allergens in NI & a review on Systems Immunology Approaches to studying T cells in npj Systems Biology. nature.com/articles/s4159…
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”
Study from my lab out today in @ScienceTM - using interpretable #ML on deep #antibody profiles, we uncover mechanisms of schistosomiasis pathogenesis. Collaborative work with @anisircar & @Fairley_NTD. Co-led by @TrirupaChakrab2 & Anushka Saha. science.org/doi/10.1126/sc…
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