Thomas Keller

Computational Biologist

Tampa, Florida, United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
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.
code10 years of coding experience
job5 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Integrative Biology, Doctor of Philosophy (Ph.D.), Integrative Biology at The University of Texas at Austin
bookBachelor’s Degree, Zoology/Animal Biology, Magna cum Laude, Bachelor’s Degree, Zoology/Animal Biology, Magna cum Laude at University of Florida
languagesEnglish, Spanish
stackoverflow-logo

Stackoverflow

Stats
1reputation
0reached
0answers
0questions
github-logo-circle

Github Skills (5)

data-manipulation10
apim10
api10
twitter-api10
r10

Programming languages (5)

RHTMLJupyter NotebookMATLABPython

Github contributions (5)

github-logo-circle
ropensci-archive/rtweet

Apr 2018 - Apr 2018

🐦 R client for interacting with Twitter's [stream and REST] APIs
Role in this project:
userBack-end Developer
Contributions:5 commits, 2 PRs, 6 comments in 4 days
Contributions summary:Thomas primarily focused on enhancing the functionality of the `rtweet` R client for Twitter's APIs. They implemented new features, such as including retweet counts in stream data. Several commits involved modifying the `tweets_and_users.R` file to correct and add fields related to retweets and quoted tweets, specifically dealing with the `source` information and `full_text` usage. These changes reflect a focus on improving data retrieval and ensuring data accuracy in the Twitter API interactions.
resttwitterr
Contributions:112 pushes, 1 branch in 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial