Summary
Robert Riley is a Staff Data Scientist based in Cambridge with two decades of hands-on experience turning biological big data into scientific insight across national labs, academia, and industry. He specializes in metagenomics, environmental microbiology, and eukaryotic genome assembly, leading terabase-scale co-assemblies and tooling for complex fungal and algal genomes at Berkeley Lab. His work blends production-scale pipeline and software development with hypothesis-driven analysis, machine learning for phenotype prediction, and a knack for uncovering unexpected biology—such as uncovering a new genetic code and reshaping fungal decay paradigms. Previously he supported synthetic biology efforts at Amyris and curated pathogen genomics resources at the Broad Institute, bringing experience in NLP-driven curation and experimental collaboration. A published scientist and mentor with deep computational skills in Python/R and pipeline engineering, he excels at moving cutting-edge sequencing technologies from data generation to biological discovery.
9 years of coding experience
20 years of employment as a software developer
Biomolecular Structure and Design, Biomolecular Structure and Design at University of Washington
University of California Santa Cruz
Certificate, Bioinformatics, Statistics minor, Certificate, Bioinformatics, Statistics minor at University of California, Los Angeles
French