Saptarshi Pyne

Development of computational methods for inference and analysis of biological networks

About

Saptarshi Pyne was born in the land of Tagore. He loves and criticizes poetry.

Education

  • PhD, Computer Science and Engineering, Indian Institute of Technology Guwahati, India 
  • BTech, Computer Science and Engineering, Future Institute of Engineering and Management, India 

Research Description

Saptarshi's Ph. D. dissertation investigated a specific type of computational methods. These methods can identify how the topology of a gene regulatory network changes with time. For that purpose, the methods primarily utilize time-series gene expression data. When the data contains thousands of genes, the dissertation demonstrated that the existing methods were unable to process it in acceptable time or with limited amounts of computational memory. Hence, a novel set of methods was proposed in the dissertation. These methods can process such large-scale data with limited time and memory, while maintaining the accuracy. Saptarshi's postdoctoral research at WID builds on his Ph. D. experience. Here, he focuses on developing computational methods for inferring and analyzing different types of biological networks using different types of omics datasets.

Affiliations

Member, International Society for Computational Biology (https://www.iscb.org/), 2016 - present

Honors

  • 2014 - 2020: Junior and Senior Research Fellowships, Ministry of Education, Govt. of India
  • 2014: Percentile 99.4, Computer Science, Graduate Aptitude Test in Engineering (GATE), India
  • 2012: "Associate of the Year (2011)", Cognizant (https://www.cognizant.com/)