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Markus Wulfmeier
Researcher at DeepMind - Machine Learning and Robotics
Markus Wulfmeier is a prominent figure in the fields of Machine Learning and Robotics, currently affiliated with DeepMind and playing a key role in the European Lab for Learning and Intelligent Systems (ELLIS) initiative.
His work focuses on efficiency, transfer, and generalization of machine learning models, drawing from his experience and expertise gained from prestigious educational and research institutions such as University of Oxford, University of California Berkeley, ETH Zurich, and MIT.
Markus Wulfmeier holds a diverse academic background including a DPhil from University of Oxford, a Master of Science from University of Hannover, and a Bachelor of Science from the same institution, alongside research projects at UC Berkeley and ETH Zurich.
Throughout his career, he has held key positions such as Research Scientist at DeepMind, Postdoctoral Research Scientist, and Doctoral Candidate at University of Oxford, as well as Research Assistant roles at Leibniz Universität Hannover and industry experience with Continental.
With a strong emphasis on building on priors from his collaborations with esteemed institutions and his research endeavors, Markus Wulfmeier continues to make significant contributions to the advancements in Machine Learning and Robotics.