Crystal Humphries

Crystal is a PhD researcher with over a decade of experience spanning human genomics, experimental design, optimization, and statistical modeling. She has led projects at Amazon, Zymergen, and Google [X]. Her expertise lies in optimizing experiments, developing normalization tools, eliminating bias and noise from data, and efficiently conducting design-build-test-learn cycles using active learning. She has experience working in various capacities, including as a technical leader and software engineer.