New York Office
632 Broadway, Suite 803
New York, New York 10012
4380 SW Macadam Ave
Portland, Oregon 97239
Pierre-David is an applied mathematician and experienced software developer working within the algorithms group. The group has responsibility for the design, analysis and implementation of high-performance algorithms with applications in multiple fields including scientific computing, signal processing, imaging, optimization, machine learning and artificial intelligence. As a member of the team, his main responsibility is to identify and transform practical problems for which fundamental algorithmic advancements can have the most impact, into abstract mathematical ideas. This offers the opportunity to study the essence of the problem without the peculiarities of the application field, and can then be used to develop novel techniques leading to fundamental increases in performance. His focus is on both the design of fast and low-complexity algorithms, the theoretical analysis of such algorithms, in order to demonstrate and guarantee performance, as well as the high-performance implementation on specific platforms such as computer clusters and GPUs.
Pierre-David earned his Ph.D. in applied mathematics (2013) and M.S. in Statistics (2012) from Stanford University. He is also the recipient of the Juan Simo outstanding thesis award. Prior to joining Reservoir, he was the Chu Assistant Professor in the department of Applied Physics and Applied Mathematics at Columbia University. At Reservoir, he has been leading various R&D efforts in algorithm development in collaboration with prominent partners including the Defense Advanced Research Program Agency (DARPA), the Department of Defense (DoD) and the Department of Energy (DoE).
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