Pioneering research in endometrial biology through advanced bioinformatics and computational approaches
Dedicated researchers advancing the frontiers of computational biology

Assistant Professor (Grade III)
My research involves biological network construction and integration, logical modelling, kinetic and constraint-based modelling, multi-omics integration through Machine Learning and Graph Theory (Network) approaches, and data-driven hypothesis generation.

PhD Research Scholar (January 2021 onwards)
Understanding the cellular and molecular working of a biological system and using that knowledge to build predictive models and algorithms.
To become a leading center for computational biology research, enabling breakthrough discoveries in endometrial function and reproductive health.
To provide cutting-edge bioinformatics tools and comprehensive datasets that accelerate understanding of endometrial biology and gene expression.