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 (52)
unity3d10
reinforcement-learning10
dqn10
ddpg10
jam9
deep-reinforcement-learning9
ml-agents8
deep-learning8
tetris8
machine-learning8
imitation-learning7
openai-gym7
baduk7
puzzle7
keras6
Programming languages (7)
Github contributions (5)
Danielhp95/dotfiles
Nov 2017 - Jun 2022
Contributions:63 pushes in 4 years 7 months
vimtmuxconfiguration-filesneovimterminal
Danielhp95/reinforcement-learning-literature-review
Jan 2018 - Oct 2018
Contributions:48 commits, 28 pushes, 1 branch in 8 months
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