Rohan Munoth

Sen. Rohan Munoth is a computational biologist working at the Herbert Irving Comprehensive Cancer Center (HICCC). He develops and optimizes data pipelines to analyze large biological datasets like whole-genome and single-cell sequencing. Much of his work involves using cloud computing and high-performance computing (HPC) to process data efficiently and at the scale researchers require.
He earned his Master’s in Quantitative Biology and Bioinformatics from Carnegie Mellon University, where he focused on creating scalable workflows and studying molecular processes such as ribosome pausing during protein synthesis. Combining biology and programming, Rohan enjoys solving research problems by writing clean, reproducible code and improving data analysis workflows.
He’s passionate about making complex biological data easier to work with and believes that good computational solutions can help speed up scientific discovery. Whether it’s setting up cloud infrastructure or optimizing pipelines, Rohan focuses on practical approaches that help researchers get meaningful results faster.