Rohit Ghosh

Background

About Rohit Ghosh

Computational biologist and data scientist with extensive experience in single-cell genomics, machine learning, and bioinformatics. Proficient at developing innovative software tools for analyzing massive amounts of data. Previously conducted research at UCLA's Jonsson Comprehensive Cancer Center and Yale School of Medicine My research background spans genetic variant analysis, single-cell transcriptomics, and developmental biology, with publications in respected journals including BMC Bioinformatics, Journal of Analytical Toxicology, and Journal of Applied Laboratory Medicine. Skilled in Python, R, machine learning frameworks, and bioinformatics tools, I combine computational expertise with biological insight to solve complex problems at the intersection of computer science and biology. Passionate about scientific outreach and education, having led programs that engage underserved youth in STEM fields. Looking to connect with professionals who share interests in genomics, computational biology, and applications of machine learning in healthcare and life sciences.