Thomas Baumeister

Thomas Baumeister is a machine learning engineer at Apple, with a diverse educational background that includes studies in mechanical engineering, robotics, cognition and intelligence, as well as technology and management. He has also pursued research stays focusing on developing deep learning control algorithms at the University of Washington and artificial intelligence and robotics at Stanford University.

Baumeister has served as a visiting student researcher at Stanford University, a tutor for Matlab/Simulink at Technische Universität München, and a working student (IT-consultant) at KPMG. He has also worked on several academic projects, including a bachelor thesis at TUMCREATE and as a project student for the BSH Home Appliances Group. Additionally, Baumeister has tutored in engineering mechanics at Technische Universität München.

With his education and experience, Baumeister has developed valuable skills in machine learning, deep learning, robotics, and engineering mechanics.