Clayton Hutto
Research Scientist at Georgia Tech Research Institute
Marietta, Georgia, United States
Summary
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Rockstar🎓
Top SchoolClayton Hutto is a Principal Research Scientist at the Georgia Tech Research Institute with over a decade of experience in human systems integration, human factors, and computational social science. He designs and implements computational representations of social, cognitive, and behavioral processes—combining agent-based, network, and discrete-event simulations—to model human performance, situational awareness, and resilience across individual to societal scales. Clayton applies NLP, information extraction, and data mining to study belief formation, influence, misinformation propagation, and sentiment, and has contributed to the widely used VADER sentiment analysis tool to improve social-media-aware scoring. With a Ph.D. in Human Centered Computing and a background in avionics and HCI, he blends rigorous experimental human factors with scalable computational modeling. His work is notable for bridging field-relevant human-centered design and theory-driven simulation to produce actionable insights for complex socio-technical systems.
11 years of coding experience
Doctor of Philosophy (Ph.D.), Human Centered Computing (mnr. in psychology; sp. in social computing & compu. social science), Doctor of Philosophy (Ph.D.), Human Centered Computing (mnr. in psychology; sp. in social computing & compu. social science) at Georgia Institute of TechnologyBachelor of Science (B.S.), Human Factors and Systems Engineering, Bachelor of Science (B.S.), Human Factors and Systems Engineering at Embry-Riddle Aeronautical UniversityAssociate of Science (A.S.), Avionics Systems Technology (Electrical, Electronics and Communications Engineering), Associate of Science (A.S.), Avionics Systems Technology (Electrical, Electronics and Communications Engineering) at Community College of the US Air Force
Github Skills (8)
sentiment-analysis10
nlp10
python10
data-science10
natural-language-processing9
machine-learning9
algorithms8
documentation7
Programming languages (4)
Github contributions (5)
cjhutto/vaderSentiment
Mar 2015 - Apr 2022
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
Role in this project:
Data Scientist
Data ScientistContributions:35 commits, 15 PRs, 112 pushes in 7 years 1 month
Contributions summary:Clayton primarily contributed to the VADER Sentiment Analysis project by modifying the core Python code, `vaderSentiment.py`. Their work involved refining sentiment analysis logic, including handling negation words, special case idioms and phrases, and adjusting scoring mechanisms. The user also updated documentation, including the README file, to clarify aspects of the sentiment scoring and the demo. These contributions suggest an active role in enhancing and refining the sentiment analysis tool's accuracy.
rulevalencesentiment-analysisnatural-language-processinglexicon
cjhutto/bsd
Jul 2017 - Mar 2018
Contributions:7 commits, 8 PRs, 20 pushes in 8 months
sentencedetectorbsdstatementbias
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