We are a computational biology research group at IIT Kanpur, focusing on developing cutting-edge computational methods to decode complex biological systems. Our work lies at the intersection of machine learning, bioinformatics, and single-cell genomics, aiming to uncover fundamental insights into cancer evolution, cellular heterogeneity, and disease progression.

At our lab, we integrate probabilistic modeling, graph algorithms, and statistical learning with large-scale biological data to address key challenges in evolutionary dynamics, phylogenetics, and personalized medicine. Through interdisciplinary collaboration, we strive to advance computational techniques that push the boundaries of biomedical research.