Audatic
Paul Meyer-Rachner has worked as a Machine Learning Engineer / Data Scientist at Audatic since August 2018. Prior to that, they worked as a Werkstudent at IAV GmbH from October 2015 to November 2016.
Paul Meyer-Rachner earned a Baccalauréat Scientifique and Abitur from Centre International de Valbonne (CIV) between the years 2011 and 2013. Paul then went on to receive a Bachelor of Science (BS) degree in Electrical Engineering from Technische Universität Berlin from 2013 to 2017. Following their undergraduate studies, Paul pursued a Master of Engineering (MEng) degree in Electrical Engineering and Computer Science at the University of California, Berkeley from 2017 to 2018.
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Audatic
They are building systems to intelligently modify sound using state of the art deep learning technology and unique datasets. Their personalized sound environment allows users to customize sounds to their individual tastes. Applications include effortless interactions in noisy places (especially for people with hearing impairments), and realisticaudio-environments for augmented reality.