Chris Gropp
Graduate Research Assistant
Knoxville, Tennessee, United States
Summary
👤
Senior🎓
Top SchoolChris Gropp is a graduate research assistant and PhD student at the University of Tennessee with a decade of experience applying adversarial methods to probe the practical strengths and failure modes of text-based machine learning models. He builds and evaluates metrics that go beyond accuracy to predict when and how models fail, then uses those insights to guide improvements in robustness and trustworthiness. His background spans academic research roles at Clemson and Oak Ridge National Laboratory, combining rigorous evaluation with hands-on model development. Chris seeks teams that appreciate both the power and risks of AI and values methods that ask the right questions to ensure confidence in products and processes. An often-overlooked strength is his focus on qualitative adversarial analysis, which surfaces actionable failure patterns that standard benchmarks miss.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Clemson UniversityBachelor of Science - BS Computer Science Mathematics and Computational Science, Bachelor of Science - BS Computer Science Mathematics and Computational Science at Rose-Hulman Institute of Technology
Github Skills (5)
synthetic5
bed4
evaluation2
machine-learning1
robustness1
Programming languages (2)
Github contributions (5)
groppcw/TopicModelingPipeline
May 2017 - Feb 2018
Contributions:85 pushes, 1 branch in 9 months
groppcw/GroppPHD
Jan 2020 - Jun 2020
Contributions:22 pushes, 1 branch in 5 months
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