Tuan Le
PhD Candidate
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolTuan Le is a PhD candidate and applied ML researcher with 8 years of experience building practical AI systems at the intersection of computer vision, reinforcement learning, and explainable healthcare models. He has accelerated research workflows by engineering modular, extensible frameworks for digital pathology and distributed training, and delivered state-of-the-art results on clinical benchmarks like MIMIC-CXR. His work spans academia and industry—deploying robotics solutions at BMW and contributing interoperable xAI tooling to clinical ecosystems—demonstrating a rare ability to move ideas from prototype to production hardware and clinical practice. Based in Berlin, he emphasizes rapid experimentation, reproducible pipelines, and cross-disciplinary collaboration, and has a track record of peer-reviewed publications and widely reusable open-source tooling that empowers other researchers.
8 years of coding experience
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Technische Universität Berlin
German, English, Vietnamese, French
Github Skills (39)
simulation10
robotics10
toolbox10
benchmarking10
robot10
stable-baselines10
robustness10
ros10
reinforcement-learning9
pytorch9
python9
machine-learning9
openai9
resnet9
deep-reinforcement-learning9
Programming languages (3)
Github contributions (5)
ignc-research/stable-baselines3
Apr 2021 - Jun 2022
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Contributions:11 commits, 12 pushes in 1 year 1 month
pytorchimplementationsreinforcement-learning-algorithmsstable-baselinesdeep-learning
eliastreis/arena-rosnav
Feb 2021 - Apr 2021
Contributions:78 commits in 2 months
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