About

Matthäus Kleindessner is a highly skilled Research Scientist with extensive experience in the field of Machine Learning. Currently, he is working at Amazon as a Research Scientist where he is responsible for developing and implementing new algorithms for machine learning models. Before joining Amazon, Matthäus worked as a Postdoctoral Researcher in Computer Science/Machine Learning at the University of Washington and Rutgers University. During his tenure, he worked on several projects related to machine learning and developed new algorithms to improve the performance of machine learning models. Matthäus completed his Doctor of Philosophy (PhD) in Computer Science from the University of Tübingen in 2017. He also holds a Master of Science (MS) in Technical Mathematics from Technische Universität Wien, and a Bachelor of Science (BS) in Technical Mathematics from the same institution. Matthäus has a strong technical background and is proficient in a wide range of tech stacks related to Machine Learning. He has relevant work experience of 5.44 years and is a highly motivated individual who is always eager to learn and improve his skills. With his extensive experience and expertise in Machine Learning, Matthäus is a valuable asset to any organization he works for. He is a team player and has excellent communication skills, making him an ideal candidate for any role that requires collaboration and teamwork.