Jaisri Jagannadham

Jaisri Jagannadham is a Scientist, Centre for Bioinformatics & Computation Biology 2(CB), Ashoka University. She has an experience of 8 years as Computational Biologist in research and teaching. Her area of specialisation and of interests includes next-generation sequencing, machine learning, big data analysis, population structure and association studies and network biology. She has experience in studies related to the field of clinical conditions including metabolic syndrome and agriculture.

Prior to joining Ashoka, she was associated with Indian Agricultural Statistics Research Institute (IASRI), Pusa Campus, New Delhi. During which, she had an exposure to work with a high performance computing cluster platform, designed workflows and scripts for big data analysis. She completed her Ph.D. in Bioinformatics in 2017 from Jaypee Institute of Information Technology University, Noida. Her doctoral dissertation examines the use of a relatively new hybrid approach for constructing the network of molecules implicated in obesity. In her research, she developed an automated text-mining algorithm in Perl for mining the literature data to screen the molecules implicated in a disease condition followed by molecular network generation. This was delivered in a computer-based program that is freely available to the community.