Joery De Vries
Machine Learning Researcher at Delft University of Technology
Netherlands
Summary
👤
Senior🎓
Top SchoolJoery De Vries is a Machine Learning Researcher and PhD candidate at TU Delft with eight years of experience applying deep learning and reinforcement learning to real-world decision problems. His work spans improving AlphaZero-style RL with particle-filter planning and integrating planning into training pipelines to shift compute from model fitting to data collection, cutting training times from hours or days to minutes. He has translated these advances into applied settings—from autonomous experiment selection in biotech to cybersecurity threat assessment and HVAC control in pharmaceutical facilities—demonstrating both foundational and applied impact. Based in the Netherlands, he combines distributed GPU scalability expertise with a background in bioinformatics and hands-on mentoring and teaching. Notably, his research emphasizes end-to-end methods that scale with compute, enabling faster, more efficient learning in partially observable systems.
8 years of coding experience
Master of Science Computer Science, Master of Science Computer Science at Leiden UniversityBachelor of Science Bioinformatics, Bachelor of Science Bioinformatics at Hogeschool LeidenDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Delft University of Technology
Dutch, English
Stackoverflow
11reputation
262reached
2answers
0questions
Github Skills (59)
mdp10
keras10
reinforcement-learning9
robotics9
dtype9
autodiff9
pytorch9
python9
machine-learning9
python-typing9
composable9
gpu9
data-versioning9
api9
automatic-differentiation9
Programming languages (2)
Github contributions (5)
joeryjoery/jit_env
Apr 2023 - Jan 2024
An Agent-Environment interface with Jax transformation compatibility
Contributions:5 releases, 14 PRs, 40 pushes in 9 months
kaesve/muzero
Sep 2020 - Mar 2021
A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.
Contributions:1 review, 168 commits, 1 PR in 6 months
pytorchpitmdpfollowingdeep-learning
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