dme65.github.io - David Eriksson

Example domain paragraphs

I do research in machine learning with a focus on Bayesian optimization and Gaussian processes. My work has primarily focused on scaling these methods to complex high-dimensional problems.

I am currently a Staff Research Scientist at Facebook . I was previously a Sr. Research Scientist at Uber AI Labs and before that I received my Ph.D. in Applied Mathematics from Cornell University where I was advised by Professor David Bindel .

I am a main organizer of the NeurIPS 2020 black-box optimization competition with the goal of finding the best black-box optimizer for machine learning.