Himanshu Sinha
Research, teaching, administration
Indian Institute of Technology Madras
Himanshu Sinha is an Associate Professor at the Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras since June 2016. His interests lie in uncovering genotype-phenotype relationships in populations. His laboratory is using yeast populations attempts to discover underlying molecular networks that get perturbed when populations evolve and adapt. He completed his PhD from the University of Cambridge, UK and during his postdoc established yeast as a model for quantitative and population genetics. He also co-ordinates the Initiative for Biological Systems Engineering at IIT Madras and is a member of the Robert Bosch Centre for Data Science and Artificial Intelligence (RBC-DSAI). He says he was bitten by a travel bug which helps him satisfying his craving for diverse food.
Principal Investigator
Further information
Projects within the RTG Big Data
Projects that encompass genotype-phenotype relationships be at population, genetic, or transcriptomic levels to infer networks underlying complex traits; Clinical datasets to develop prediction models for diseases and outcomes.
Research interests of relevance to the project
- Quantitative and population genetics to map and functionally characterise causal genetic variants using genetic and transcriptomic network analysis
- Biological data analysis: machine learning on omics/clinical datasets
Field of Expertise
Systems Genetics
Selected publications
- Tripathi B, Parthasarathy S, Sinha H, Raman K, Ravindran B (2019) Adapting community detection algorithms for disease module identification in heterogeneous biological networks. Frontiers in Genetics 10: 164
- Sarkar C, Gupta S, Sinha H, Jalan S (2018) A network theory approach identifies nodes and edges defining yeast sporulation efficiency variation. bioRxiv doi: 1101/068270
- Yadav A, Dhole K, Sinha H (2016) Differential regulation of cryptic genetic variation shapes the genetic interactome underlying complex traits. Genome Biology and Evolution 8: 3559.
- Gupta S, Radhakrishnan A, Nitin R, Pandu R-L, Lin G, Steinmetz LM, Gagneur J, Sinha H (2016) Meiotic interactors of a mitotic gene TAO3 revealed by functional analysis of its rare variant. G3: Genes, Genomics, Genetics 6: 2255.
- Gupta S, Radhakrishnan A, Pandu R-L, Lin G, Steinmetz LM, Gagneur J, Sinha H (2015) Temporal expression profiling identifies pathways mediating effect of causal variant on phenotype. PLOS Genetics 11: e1005195.
Contact details
Address:
315, Block II, Department of Biotechnology
Bhupat and Jyoti Mehta School of Biosciences
Indian Institute of Technology Madras
Chennai – 600 036, INDIA
Phone: +91 442 257 4120
