Meet our team
Research in endometrial biology through bioinformatics and computational approaches.
Our team
Assistant Professor (Grade III)
Research interests
Biological network construction and integration, logical modelling, kinetic and constraint-based modelling, multi-omics integration through machine learning and graph theory, and data-driven hypothesis generation.
PhD Research Scholar (January 2021 onwards)
Research interests
Understanding the cellular and molecular working of a biological system and using that knowledge to build predictive models and algorithms.
Our vision
To become a leading centre for computational biology research, enabling discoveries in endometrial function and reproductive health.
Our mission
To provide bioinformatics tools and comprehensive datasets that accelerate understanding of endometrial biology and gene expression.