Dani Perez
Research Scientist at SonyAI
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolDani Perez is a research scientist and PhD-level machine learning engineer with 11 years of experience applying multi-agent reinforcement learning to real-world game settings. Currently at SonyAI after a PhD and research roles at Digital Creativity Labs, CWI, and a PhD internship at Sony Interactive Entertainment, Dani focuses on making state-of-the-art RL methods sample-efficient and production-ready for AAA titles. He combines rigorous academic research, international lecturing, and hands-on engineering—writing production code, prototyping algorithms, and integrating them into games. Based in Denver, he’s motivated to bridge academia and industry, with a track record of opponent-modelling and model-based RL advances that improve multi-agent performance.
11 years of coding experience
5 years of employment as a software developer
MEng Computing Games, Vision & Interaction, Computing, First Class Honors, MEng Computing Games, Vision & Interaction, Computing, First Class Honors at Imperial College London
Spanish, English, Portuguese, Galician
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (60)
tetris10
serve10
unity3d10
deep-reinforcement-learning9
jam9
simulations9
intelligent9
reinforcement-learning8
openai-gym7
machine-learning7
keras7
deep-learning7
puzzle7
ml-agents7
api6
Programming languages (6)
Github contributions (5)
Danielhp95/gym-rock-paper-scissors
Oct 2018 - Feb 2020
Rock Paper scissors environment for OpenAI Gym environment
Contributions:33 commits, 22 pushes, 1 branch in 1 year 3 months
scissorsrockreinforcement-learningrock-paper-scissorsgym-environment
Danielhp95/on-opponent-modelling-in-expert-iteration-code
Jul 2020 - Jan 2022
Contributions:67 commits, 57 pushes, 1 branch in 1 year 6 months
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