Welcome to the Systems Genetics Laboratory

We harness the power of data science to revolutionise fundamental biology and clinical research. Our multidisciplinary approach combines experimental biology, computational methods, and collaborative partnerships to advance our understanding of biological systems and improve health outcomes. As a part of Center for Integrative Biology and Systems MedicinE (IBSE) and Wadhwani School of Data Science and AI (WSAI), we leverage data science and AI to understand and manipulate biological and clinical systems.

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Our Multidisciplinary Approach

Experimental Biology

Cutting-edge laboratory techniques to uncover biological mechanisms at molecular, cellular and evolutionary levels.

Computational Methods

Advanced algorithms and machine learning to analyse complex genotype-phenotype relationships with biological datasets and identify patterns.

Collaborative Partnerships

Working with clinicians, researchers, and institutions to translate discoveries into clinical applications for societal good.

IBSE

Coordinate and collaborate extensively with faculty of Center for Integrative Biology and Systems Medicine.

WSAI

Collaborate extensively with faculty of Wadhwani School of Data Science and AI.

Our Mission

Combining experimental biology and data science to uncover the complexities of genetic and phenotypic relationships in biological systems.
Advancing clinical research through computational models to improve maternal and child health outcomes and transform healthcare.

Research Focus Areas

Systems Genetics: Modelling complex genotype-phenotype relationships in context of evolution
Genetic Diversity: Analysing gentic diversity of diverse ethno-geographic groups using genome graphs
AI Tools to Improve Public Health: Developing novel AI/ML tools that address India-specific healthcare problems