Summary
Jeffrey Yunes is a research scientist and founder building a one-lab nonprofit to study aging biology using cloud labs and community labs, bridging nonprofit research with practical scientific progress. He earned a PhD in Bioengineering from UC Berkeley/UCSF, focusing on prediction of protein function and leveraging statistical machine learning, bioinformatics, and RNA structure prediction. His career spans roles at Amazon as a software development engineer, an internship at Intel, and a co-founding software startup Blowfish Health, with additional work in statistical phylogenetics, RNA secondary structure prediction, and synthetic biology. Since 2020 he leads the Yunes Foundation for Research on Aging, documenting the process to show trained scientists how to contribute meaningfully outside traditional academia. Based in San Francisco, he combines leadership in research with hands-on engineering and data science to turn complex aging biology questions into scalable projects.
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