Bálint Gyevnár
Postdoctoral Researcher at Carnegie Mellon University
Pittsburgh, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolBálint Gyevnár is a postdoctoral researcher at Carnegie Mellon University with a decade of experience at the intersection of AI, machine learning, and scientific integrity. His work focuses on rigorous metascience of AI—examining how AI systems impact research practices and safety—and has produced peer-reviewed outputs including a Nature Machine Intelligence publication. He combines technical skills in NLP, unsupervised quantitative analysis, and interpretable planning (from autonomous vehicle research) with practical evaluation work, having reviewed and deeply investigated dozens of organisations for high-impact funders. A seasoned educator and community organiser, he has taught diverse ML courses and led a large university sports club, reflecting strong communication and program management abilities. Based in Pittsburgh, he brings a rare mix of methodological rigor, policy-relevant evaluation experience, and hands-on research into AI safety and scientific norms.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of EdinburghExchange, Computer Science, Exchange, Computer Science at Nanyang Technological University
Hungarian, English, German, Russian, Japanese
Github Skills (1)
autonomous-driving10
Programming languages (2)
Github contributions (5)
uoe-agents/xavi-ai4ad
Mar 2022 - Jun 2022
Contributions:38 commits in 3 months
uoe-agents/IGP2
Apr 2021 - Jan 2023
Official Repository for "Interpretable Goal-based Prediction and Planning for Autonomous Driving" (ICRA 2021)
Contributions:2 reviews, 338 commits, 1 PR in 1 year 9 months
autonomous-driving
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