Summary
Jeffrey Yunes is a research scientist and founder building a one-lab nonprofit in San Francisco that leverages cloud and community labs to study the biology of aging outside traditional academia. He holds a PhD in bioengineering (Berkeley–UCSF) where he focused on protein function prediction and has additional projects in statistical phylogenetics, RNA secondary structure prediction, and synthetic biology. With an 11‑year technical background that began in software engineering roles at Amazon and Intel, Jeffrey uniquely combines production-grade systems thinking, device and embedded experience from a health hardware startup, and rigorous computational biology. He documents his transition to independent research to show other trained scientists how to keep contributing to the field, reflecting a commitment to open, reproducible workflows. An inventor named on patents spanning inventory placement and processor monitoring, he brings a practical inventiveness to both lab and software problems.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Bioengineering, Bioinformatics, Statistical Machine Learning, Doctor of Philosophy (Ph.D.), Bioengineering, Bioinformatics, Statistical Machine Learning at University of California, Berkeley
Sharon High School
EXPLO
Bachelor of Science (BS), Computer Science, Molecular Genetics, Bachelor of Science (BS), Computer Science, Molecular Genetics at Georgia Institute of Technology
Doctor of Philosophy - PhD, Bioengineering, Bioinformatics, Statistical Machine Learning, Doctor of Philosophy - PhD, Bioengineering, Bioinformatics, Statistical Machine Learning at University of California, San Francisco
English