Summary
Gaurav Sharma is a computational biologist and AI leader with a decade of experience bridging wet-lab experiments and computational analysis, currently serving as VP of Computational Biology and AI at Ellumigen. He has a strong track record of building bioinformatics software and robust analysis pipelines across genomics, transcriptomics, single-cell and proteomics data, and co-authored 10 publications with 100+ citations. Skilled in R, Python, C++, Go and workflow tools like Snakemake, he developed the Bioconductor package projectR and methods for transfer learning and spatial mapping of single-cell data during his JHU research. Recently he has applied deep learning to improve clinical label prediction, moving models from method development toward practical impact in a startup setting. His background uniquely combines hands-on wet-lab mutation and enzymology work with scalable software engineering and product-focused leadership.
10 years of coding experience
2 years of employment as a software developer
Johns Hopkins University
Bachelor of Technology (B.Tech.) Mechanical Engineering, Bachelor of Technology (B.Tech.) Mechanical Engineering at Indian Institute of Technology Gandhinagar
Kendriya Vidyalaya Sangathan
English, Hindi, French