Garry Wong

About the Author

Garry Wong is a distinguished computational biologist and data scientist with over two decades of experience in bioinformatics and genomic research. Holding a PhD in Molecular Biology from the University of California, Berkeley, he has held positions at leading institutions such as the Broad Institute and Stanford University, where he pioneered innovative methods for analyzing high-throughput sequencing data. Wong's work bridges the gap between complex biological datasets and actionable insights, making advanced techniques accessible to researchers worldwide. His seminal book, RNA-seq Data Analysis: A Practical Approach (Chapman & Hall/CRC Computational Biology Series), has become a cornerstone resource for students and professionals in the field, offering step-by-step guidance on processing and interpreting RNA sequencing data. Passionate about open science, Wong continues to contribute to collaborative projects and educational initiatives aimed at democratizing genomic analysis.