Arjun S. Raman

This study identifies conserved spatial structures in tumors that predict immune response, using a classification framework based on transcriptional covariation.

The paper analyzes the gut microbiome of South Asian communities to show that urbanization impacts microbiomes differently across communities, with geography and culture playing a stronger role than lifestyle.

The paper shows that cellular adaptability is shaped by evolutionary history through a prioritization hierarchy of transcriptional responses to environmental cues.

This study shows that post-COVID-19 mitochondrial dysfunction impairs T cell memory responses to pathogens, but can be improved with metformin and ubiquinol.

ROSIE generates multiplex immunofluorescence staining from H&E images by imputing protein expression and localization using deep learning.

The paper designs a synthetic microbiome that suppresses gut pathogens using a statistical approach, showing it effectively clears Kp-MH258 in multiple environments.

The paper describes bacterial strains in the human gut using a statistical model based on their evolutionary history to predict metabolic phenotypes and engineer consortia.

This paper introduces SCALES, a method that extracts hierarchical protein interaction networks from bacterial proteome variation patterns, revealing new genetic factors in Pseudomonas aeruginosa motility.