Lanier Lanier
Research Scientist at Riot Games
Irvine, California, United States
Summary
👤
Senior🎓
Top SchoolLanier Lanier is a research scientist and PhD candidate in computer science at UC Irvine with a decade of experience applying machine learning to robotics, game AI, and human-computer interaction. Currently at Riot Games, Lanier focuses on reinforcement learning for game intelligence while maintaining an active research profile visible on Google Scholar. Prior internships at OffWorld and research roles at UCSB’s Four Eyes Lab reflect a hands-on background in robotics, AR, and audio/sound design, giving him a multidisciplinary perspective on perception and interaction. He brings both academic rigor and product-minded engineering to bridge novel algorithms and real-world systems, and his career path shows a consistent pattern of turning exploratory research into applied solutions.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at UC Santa BarbaraUniversity of California, Irvine
German
Github Skills (34)
approximate10
markov-decision-processes10
python9
machine-learning9
pipeline9
scalable9
cpp8
deep-learning8
reinforcement-learning8
tensorflow8
oracle8
algorithm8
multi-agent-reinforcement-learning7
data-science7
pytorch7
Programming languages (5)
Github contributions (5)
JBLanier/Darknet-Yolo-Client-for-HoloLens
Mar 2019 - Jun 2021
Contributions:13 commits, 13 pushes, 1 branch in 2 years 3 months
JBLanier/pipeline-psro
Aug 2020 - Dec 2022
Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
Contributions:90 commits, 74 pushes, 1 branch in 2 years 4 months
scalableequilibrianashgamespipeline
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