Jishnu Das
Jishnu Das

Machine Learning, Networks, Immunology, Coffee and Music

Leveraging diverse expertise to pioneer method development and apply practical solutions to diverse biological challenges!

AI Logo
cell Logo
brain Logo
system Logo
cells Logo
chip Logo
test tube Logo
Article Slider
Uncovering cell-type-specific immunomodulatory variants and molecular phenotypes in COVID-19 using structurally resolved protein networks
Interpretable machine learning uncovers epithelial transcriptional rewiring and a role for Gelsolin in COPD
Spatial microniches of IL-2 combine with IL-10 to drive lung migratory TH2 cells in response to inhaled allergen
Deep humoral profiling coupled to interpretable machine learning unveils diagnostic markers and pathophysiology of schistosomiasis
SLIDE- Significant Latent factor Interaction Discovery and Exploration across biological domains
Cell‐type‐specific biomarkers of systemic sclerosis disease severity capture cell‐intrinsic and cell‐extrinsic circuits
Daryl Mercer

Hi there ! 👋 Welcome to Jishnu's Systems Immunology Lab.

As a computational systems immunology lab, our research focuses on the development and use of novel systems approaches to analyze high-dimensional immunological datasets, and elucidate molecular mechanisms of immunological disorders. 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.