Bud Mishra

This paper develops a graph curvature-based pipeline to identify immune checkpoint response biomarkers from tumor RNA-sequencing data using PPI networks and transfer learning.

This paper uses discrete Ollivier-Ricci Flow to cluster patients treated with PD-1 inhibition, revealing subpopulations with distinct survival curves and potential biomarkers.

This study identifies C1QA as a consistent biomarker for tissue macrophages and explores its role in anti-microbial pathways.

The paper explores applying game theory, specifically information asymmetric signaling games, to explain neurobiological phenomena across multiple biological scales, using rodent hippocampal and entorhinal cortex data.

PHENSIM simulates cell phenotype changes due to biomolecule activation/inhibition using signaling pathways, showing high prediction accuracy through benchmarking.

The paper identifies three novel complex structural variation patterns in cancer genomes using genome graph analysis across 2,833 tumor WGS.