Daniel Walton is a mathematical economist currently working at Uber, where they hold multiple roles, including Senior Applied Scientist and Staff ML Engineer, Tech Lead Manager. They previously served as an Economic Consultant at RedPeak Economics Consulting and gained experience as an Applied Scientist II at Uber. Daniel’s academic background includes a PhD in Economics from Stanford University and a BS in Mathematics and Economics from Brigham Young University, where they were also a research assistant focusing on econometrics and financial mathematics. Their research interests center around platform marketplace design, microeconomic theory, econometrics, and causal machine learning.
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