Maximilian Igl
Senior Research Scientist at NVIDIA
Switzerland
Summary
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Senior🎓
Top SchoolMaximilian Igl is a Senior Research Scientist at NVIDIA with a decade of experience advancing deep reinforcement learning and generalization for continuous control. He completed a DPhil at the University of Oxford and has held research roles at Waymo, DeepMind, and Microsoft, where his work on selective noise injection and information bottlenecks produced a NeurIPS paper and a granted patent. His background spans physics, economics and technology management, enabling a rare cross-disciplinary approach to problem formulation and evaluation. He combines rigorous academic methods with applied engineering at scale—translating research ideas into deployed systems for autonomy and robotics. Based in Switzerland, he has a track record of building teams and initiatives, from founding a university consulting branch to driving research programs at industry leaders.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (DPhil) Autonomous Intelligent Machines and Systems, Doctor of Philosophy (DPhil) Autonomous Intelligent Machines and Systems at University of OxfordMaster of Science (M.Sc.) Physik, Master of Science (M.Sc.) Physik at Ludwig-Maximilians-Universität MünchenHonours Degree Technology Management, Honours Degree Technology Management at Center for Digital Technology and Management (CDTM)
Github Skills (101)
variational-autoencoder10
robotics9
decision-making9
organize9
actor-critic9
multi-agent-reinforcement-learning9
resolver9
packaging9
q-learning8
deep-reinforcement-learning8
reproducible-science8
python8
noise8
bottleneck8
sac8
Programming languages (12)
Github contributions (5)
maximilianigl/DVRL
Sep 2018 - May 2022
Deep Variational Reinforcement Learning
Contributions:9 commits, 1 PR, 9 pushes in 3 years 9 months
actor-criticdeep-learningreinforcement-learningdeep-reinforcement-learningmujoco
maximilianigl/rl-msol
Jun 2020 - Feb 2021
Contributions:10 commits, 8 pushes, 1 branch in 8 months
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