David Eriksson

David Eriksson is an accomplished research scientist and manager with extensive experience in Bayesian optimization and applied mathematics. Eriksson held positions at Uber AI as a Senior Research Scientist, leading the development of TuRBO, a scalable Bayesian optimization method, and contributed significantly to the design of Uber's Bayesian optimization service. At Meta, Eriksson currently manages a team of Research Scientists focused on Bayesian optimization after serving as a Staff Research Scientist. Previous roles include research internships at renowned organizations such as NASA, Google, and Fraunhofer-Chalmers Centre for Industrial Mathematics, where Eriksson developed innovative algorithms and optimization methods. Educational qualifications include a PhD in Applied Mathematics from Cornell University and a Master’s in Engineering Mathematics and Computational Science from Chalmers University of Technology.