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Adrian Hutter
Software Engineer, Machine Learning at Google
Adrian Hutter is a highly accomplished individual with a strong educational background and extensive professional experience in the fields of theoretical physics, machine learning, quantitative research, and software engineering.
Adrian Hutter excelled academically, having obtained a Doctor of Philosophy (PhD) in Theoretical Physics with the highest honors of summa cum laude from Universität Basel. Prior to that, he completed his Master of Science (M.Sc.) in Physics with distinction at Eidgenössische Technische Hochschule Zürich.
Currently employed as a Software Engineer specializing in Machine Learning at Google, Adrian Hutter has previously held key roles at reputable organizations. He served as a Quantitative Researcher at Tensor Technologies, a Machine Learning Fellow at Fellowship.AI, and a Quantitative Trader at Jane Street. In addition, he has also contributed as a Scientific Researcher at the University of Basel and led projects as the Project Leader and Head of HR at ETH juniors.
With a wealth of experience in both academia and industry, Adrian Hutter brings a unique blend of theoretical knowledge and practical skills to his work. His contributions in the realms of machine learning, quantitative research, and software engineering have made him a valuable asset to the organizations he has been a part of.