Philipp Grohs

Philipp Grohs holds the professorship for Mathematical Data Science at the University of Vienna, where he also directs the research hub "Data Science". He is also head of the research group "Mathematical Data Science" at the RICAM insitute of the Austrian Academy of Sciences. Philipp Grohs obtained his MSc degree in technical mathematics at TU Vienna in 2006 and completed his PhD in 2007. After spending time at TU Graz, KAUST and ETH Zurich as a postdoc, he accepted an assistant professorship for applied mathematics at ETH Zurich in 2011 before he moved to the University of Vienna in 2016, where he is a full professor. In his research he designs and analyzes efficient algorithms for problems in, for example, signal processing, the computational sciences, or computational finance. In recent years he contributed to the development of a mathematical understanding of deep learning algorithms, as well as machine-learning-based algorithms for the numerical solution of high dimensional partial differential equations. For his research he has been honored with several awards, including the ETH Latsis award and the selection for an Alexander-von-Humboldt professorship.