Summary
Thomas Keller is a computational biologist with a decade of experience turning messy biological data into publishable insights, authoring or co-authoring 14 peer-reviewed papers across bacterial, viral, and evolutionary epigenetics research. Based at the University of South Florida, he supports and trains researchers on high-performance computing, mentors students, and contributes directly to code, grants, and publications. Equally comfortable in Python and R (including Bioconductor), he applies machine learning and statistical methods to genomics and clinical outcome questions, and has extended that skillset to social data projects like Twitter analysis. An active open-source contributor, he has improved the rtweet R client to enhance Twitter data accuracy, reflecting a practical focus on reliable data retrieval. Outside the lab he’s an avid cyclist, rock climber, and DSLR photographer, and he writes about programming and statistical lessons from his research on his website.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Integrative Biology, Doctor of Philosophy (Ph.D.), Integrative Biology at The University of Texas at Austin
Bachelor’s Degree, Zoology/Animal Biology, Magna cum Laude, Bachelor’s Degree, Zoology/Animal Biology, Magna cum Laude at University of Florida
English, Spanish