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.
2025
[June 2] Talk at NIBMG: Hamim delivered a talk on 'Computational analysis of single-cell and spatial omics datasets for elucidating cancer heterogeneity' at NIBMG Kalyani.
[June 1] bioRxiv alert!: The preprint of Krushna's work in collaboration with Prof. Sai Pydi's lab at IIT Kanpur on a Temporal Single-Cell Multi-Omics Atlas of Murine Pancreatic Islet Remodeling During Hyperglycaemia Progression is out now on bioRxiv. This paper had also contributions from Ajita, Shruti and Ayush.
[April 29] Publication alert!: Krushna's collaborative work in a study from Prof. Shamik Sen's lab at IIT Bombay got published in the Journal of the American Chemical Society (JACS).
[April 24-29] RECOMB 2025: Members of CoSmic lab visited RECOMB 2025 and presented their works. Ajita, Krushna, Priya, and Hamim presented posters on Spatial domain detection benchmarking, multiHIVE, PHALCON, and Renoir respectively. Hamim delivered a talk on Narein's work intratumor heterogeneity through the lens of gene regulatory networks at RECOMB-CCB. Hamim also chaired a session on Spatial Transcriptomics at RECOMB 2025.