Summary
Mayank Murali is a computational scientist with eight years of experience applying cloud-native genomic analysis and long-read sequencing methods to biological problems. Currently a Computational Associate II at the Broad Institute, he builds scalable analysis pipelines and tools driven by expertise in PacBio HiFi data, alternative splicing, and benchmarking de novo metagenome assemblers. His background blends academic research (Penn State, UVA) and full‑stack engineering, having shipped backend features for agritech software and taught systems programming and theoretical CS. Comfortable bridging research and production, he pairs hands-on coding with experimental design to turn complex sequencing datasets into actionable insight. Outside the lab he channels team play into recreational soccer and volleyball and is an avid music enthusiast, a combination that fuels his collaborative, creative approach to problem solving.
8 years of coding experience
3 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Penn State University
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Vellore Institute of Technology
Kendriya Vidyalaya Sangathan
English, Tamil, Hindi, Malayalam, German