Soma Ghosh
About Soma Ghosh
Soma Ghosh is a Staff Scientist at The National Institutes of Health, specializing in host-pathogen interactions and multi-omics data analysis. She holds a PhD in Computational Biology from the Indian Institute of Science and has over 10 years of experience in biological modeling and network biology.
Work at National Institutes of Health
Soma Ghosh has been serving as a Staff Scientist at the National Institutes of Health since 2021. In this role, Ghosh applies extensive knowledge in computational biology to advance research in microbial pathogenesis. The position involves integrating computational methods with experimental techniques to analyze host-pathogen interactions, contributing to the understanding of disease mechanisms.
Education and Expertise
Soma Ghosh holds a Doctor of Philosophy (PhD) in Computational Biology from the Indian Institute of Science, where studies spanned from 2008 to 2015. Prior to this, Ghosh earned a Master's degree in Bioinformatics from Savitribai Phule Pune University between 2006 and 2008. Ghosh also completed a Bachelor's degree in Biotechnology at the University of Rajasthan from 2003 to 2006. This educational background supports over 10 years of expertise in host-pathogen interactions, multi-omics data analysis, network biology, and biological modeling.
Postdoctoral Experience at Johns Hopkins University
Before joining the National Institutes of Health, Soma Ghosh worked as a Postdoctoral Fellow at The Johns Hopkins University School of Medicine from 2015 to 2021. During this six-year tenure, Ghosh focused on research related to microbial pathogenesis and advanced computational techniques, further enhancing skills in data analysis and biological modeling.
Background in Computational Biology
Soma Ghosh specializes in integrating computational expertise with experimental approaches to study microbial pathogenesis. This background enables Ghosh to effectively analyze complex biological data and contribute to the understanding of interactions between hosts and pathogens. The focus on multi-omics data analysis and network biology is essential for advancing research in this field.