Summary
Ashok Ragavendran is an accomplished computational biology and data science leader with 11 years of experience integrating software engineering and statistical genomics in academic research settings. As Assistant Director and former Manager of the Computational Biology Core at Brown University, he designs and oversees high-throughput NGS workflows, data analysis pipelines, and core operations that bridge wet-lab and computational teams. His background spans roles at Broad Institute and MGH, where he combined molecular biology knowledge with statistical modeling to deliver reproducible, scalable analyses for large genomic studies. Trained in ecology, statistics, and fisheries & wildlife (PhD), he brings an uncommon blend of population-genetics intuition and rigorous quantitative methods to bioinformatics challenges. Known for building effective core services, he focuses on operationalizing complex genomics workflows so researchers can move from data to insight reliably.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Ecology, Master's degree, Ecology at Pondicherry University
University of Georgia
PhD, Fisheries and Wildlife, PhD, Fisheries and Wildlife at Michigan State University
English, Hindi, Tamil, Kannada