Nicholas Mancuso is an Associate Professor of Biostatistics and Computational & Statistical Genetics at USC with 16 years of experience translating complex genomic questions into robust statistical and computational solutions. His career spans academia and applied research—from developing viral quasispecies inference tools during CDC and fellowship work to leading genetic epidemiology research and methods development at Keck and USC. Trained as a Ph.D. computer scientist, he blends rigorous algorithmic thinking with hands-on software engineering experience from earlier industry roles building compilers and distributed runtimes. Based in Los Angeles, he is known for bridging interdisciplinary teams across biology, statistics, and computer science to deliver reproducible analytical pipelines and novel statistical methods. An understated strength is his track record of turning domain-specific biological challenges into generalizable computational tools that scale from lab datasets to population-level studies.
16 years of coding experience
13 years of employment as a software developer
Ph.D., Computer Science, Ph.D., Computer Science at Georgia State University
Contributions:100 commits, 73 pushes, 8 branches in 2 years 8 months
gene-setsfine-mappingcausalfinebioinformatics
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