Kriti Chopra

This paper develops a spatio-temporal analysis framework to uncover coupled mutagenic mechanisms in radiation-induced genomic instability using whole-genome sequencing data from irradiated human cells.

The paper models how low-dose radiation affects nuclear morphology by linking RNA-seq data to cell-painting imaging features over time using an interpretable inverse modeling framework.

CoRNeA predicts protein-protein interaction interfaces from amino acid sequences using co-evolution, machine learning, and network analysis, achieving higher precision and recall in eukaryotic complexes.