Ulrich Drepper joined Red Hat again in 2017, after a seven-year hiatus. He is and during his previous stint also was a member of the office of the CTO. In that capacity, he is looking at upcoming technologies for products and internal application. His focus is mostly on machine learning and low-level/high-performance computing as well as alternative compute architectures.
Previously he worked at Goldman Sachs in the technology division. The last position was as a member of the data science research group, focusing on the development of models and various types of stochastic algorithms to aid in the operation of the technology division.
His main interests are in the areas of low-level technologies like machine and processor architectures, programming language, compilers, high-performance, and low-latency computing. In addition, he is interested in using statistics and machine learning for performance analysis or programs and security of application and OS environments. He worked on several revisions of the POSIX standard and was invited expert for both the C and C++ standard committees.
Ulrich received his Diploma in Informatics from the University of Karlsruhe, Germany.