Andrew Goldstein

Andrew Goldstein graduated from UC Berkeley with dual majors in Statistics and Applied Mathematics, where they earned the Statistics Departmental Citation. Following this, they worked at Charles River Associates, providing economic and statistical analysis, and later pursued a Ph.D. in Statistics at the University of Chicago, where they developed a machine learning framework under the guidance of Professor Matthew Stephens. Currently, Andrew serves as an Applied Scientist at Uber, focusing on various analytical challenges associated with the membership/subscription team. Their experience spans roles in data science, teaching, and economic analysis.