Cat Le
AI Scientist at UL Solutions
Durham, North Carolina, United States
Summary
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Senior🎓
Top SchoolCat Le is an AI Scientist with a decade of experience developing task-aware machine learning methods spanning neural architecture search, few-shot and continual learning, generative image models, and NLP. She bridges deep academic research—authoring a novel task-affinity metric based on Fisher information and matching algorithms during her PhD—with applied R&D at industry leaders like Amazon, Raytheon, and UL Solutions. Her recent work focuses on AI safety, robustness, and standards alignment, including building LLM-powered evaluation tools to streamline ISO/IEC compliance workflows. Cat has a strong experimental track record in transformer and attentional-copula architectures for time-series, defect detection, and backscatter imaging, and she blends systems-level engineering (firmware and OCR for camera systems) with high-impact research. Based in Durham, NC, she pairs rigorous theoretical insight with practical productization, often integrating visual and textual modalities to solve domain-specific problems.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Duke UniversityCalifornia Institute of TechnologyBachelor of Science - BS, Electrical and Computer Engineering, Bachelor of Science - BS, Electrical and Computer Engineering at Rutgers University
Stackoverflow
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Github contributions (5)
lephuoccat/lephuoccat.github.io
Sep 2019 - Jun 2023
Contributions:60 pushes, 1 branch in 3 years 9 months
lephuoccat/Supervised-Encoding-Quantizer
Sep 2019 - Oct 2021
Contributions:35 commits, 22 pushes, 1 branch in 2 years 1 month
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