Felix Herron is a PhD candidate and applied mathematician with 11 years of software and research experience, now focused on measuring and reducing bias in efficient automatic speech recognition models. Comfortable happiest in Python, he blends rigorous academic methods with production-facing engineering—past roles include ML research at TU Berlin and Dartmouth analyzing linguistic shifts, plus practical C# front-end development for call center software. He teaches and has taught foundational courses in data analysis and systems programming, giving him a strong grounding in both mathematical theory and low-level implementation. Based in Grenoble, Felix brings cross-cultural experience from studies and work across Europe and the US, and a knack for finding non-obvious patterns that earned him a memorable quip at his thesis defense.
Contributions:9 pushes, 1 branch in 5 years 6 months
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