GARBH-Ini - modelling of preterm birth risk
In collaboration with our clinical partners, the Translational Health Science and Technology Institute (THSTI), we are analysing the GARBH-Ini cohort, a hospital-based observational pregnancy cohort to study multidimensional correlates of preterm birth in India. GARBH-Ini is one of the five "Atal Jai Anusandhan Biotech Missions – UNaTI" launched by the Government of India. We are building regression and machine learning models using anthropometric, clinical and obstetric characteristics of the mothers to estimate gestational age and predict preterm birth. These models, when validated and deployed will be instrumental reducing maternal and child mortality in India.
Current research projects
Systems biology of yeast
To understand genotype-phenotype maps in populations and in evolution of genetic networks
Take me thereGARBH-Ini
Developing models for gestational age estimation and preterm classification and risk prediction in Indian populations
Take me thereGenomeIndia: Cataloguing the genetic variations in Indians
The project aims to carryout whole genome sequencing of 10,000 Indians representing the genetic diversity of the Indian population
Take me thereIndo-European Consortium for Next Generation Influenza Vaccine INCENTIVE
Data analytics for development of next generation influenza vaccines for the EU and India
Take me thereMetaSUB Chennai
Analysis of post-COVID19 environmental metagenome of Chennai City Metro
Take me thereComputational biology
Reanalysis yeast genomic, transcriptomic, proteomic, metabolomic, and phenotype datasets to search exciting questions to gain novel insights
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