Machine Learning Scientist

M.Sc. Mathematics - University of Chicago

Ph.D. Mathematics - University of Toronto

David Li-Bland is a mathematician with research interests straddling machine learning, optimization, physics, and geometry. Previously, David was a research engineer at The Human Diagnosis Project. He was a postdoctoral researcher in mathematical physics at the University of California, Berkeley. David received his Ph.D. in mathematics from The University of Toronto for work on the geometry and quantization of physical systems.

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