Long Le
Graduate Research Assistant
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolLong Le is a robotics-focused researcher and software engineer with eight years of experience spanning academic research and industry roles at Google and Meta. Currently a Graduate Research Assistant in UPenn’s GRASP Lifelong Machine Learning Group and a PhD student in Computer Science, he works on robot learning informed by computational neuroscience, game theory, and psychometrics. He has applied ML to real-world systems across Ads Measurement and Instagram supply optimization, bringing production-grade engineering rigor to research problems. Prior internships and research at CMU and UMass Amherst reflect a blend of AI, social intelligence, and teaching experience across NLP, vision, and numerical methods. Based in Philadelphia, he maintains an active online presence (website and Twitter) and bridges theoretical foundations with systems-level impact. An under-the-radar strength is his cross-disciplinary fluency—translating cognitive models and game-theoretic insights into practical robot learning experiments.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at University of Massachusetts AmherstDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Pennsylvania
Github Skills (46)
robotics-simulation10
robotics9
security-camera9
3d-reconstruction9
computer-vision9
reinforcement-learning8
camera8
benchmark8
3d-graphics7
iot-security7
manipulation7
interaction7
object-detection6
deep-learning6
3d6
Programming languages (6)
Github contributions (5)
vlongle/Imperfecto
Feb 2022 - Mar 2022
Contributions:35 commits, 27 pushes, 2 branches in 28 days
vlongle/vlongle.github.io
Jun 2019 - Oct 2022
Contributions:75 commits, 81 pushes, 2 branches in 3 years 5 months
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