Dipankor Chatterjee

Dipankor Chatterjee's research focuses on using computational and bioinformatics methods to study cancer, particularly bladder and esophageal cancer, by analyzing gene mutations, DNA methylation patterns, and gene expression data to identify genes linked to disease progression and patient survival. This work also extends to computational modeling of genetic variants (SNPs) and their structural effects on proteins, as well as some work on immune cell biology and infectious disease vaccine design. Prospective students would be working with publicly available genomic and transcriptomic datasets, molecular modeling tools, and statistical/bioinformatics pipelines rather than primarily wet-lab experiments.

Publication output was minimal or absent from 2017-2020, then increased noticeably starting in 2021 with a peak in 2024, suggesting a recent growth in research activity.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026