Ariel Xu
PhD Candidate
Chicago, Illinois, United States
Summary
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Senior🎓
Top SchoolAriel Xu is a PhD candidate in Quantitative Marketing at the University of Chicago Booth School of Business with nine years of applied research experience at the intersection of empirical IO, differential pricing, and behavioral economics. She combines structural modeling, Bayesian methods, and machine/deep learning to tackle large-scale demand estimation and advertising ROI problems, including contributing code and analyses to a high-profile Econometrica study on TV advertising across 288 brands. Experienced as a research professional for Professor Günter Hitsch, Ariel has built estimators, web apps, and reproducible pipelines for big-data econometric projects. Based in Chicago, she brings a mix of rigorous theoretical training and practical implementation skills from her MA in Computational Social Science and BBA in Economics, and she often bridges academic insight with production-ready analytics.
9 years of coding experience
The University of Chicago Booth School of BusinessBachelor's degree Bachelor of Business Administration Economics (with Honors) Business Administration/Management Minor in Law, Bachelor's degree Bachelor of Business Administration Economics (with Honors) Business Administration/Management Minor in Law at Nankai UniversityMaster of Arts - MA Computational Social Science - Economics, Master of Arts - MA Computational Social Science - Economics at University of Chicago Division of the Social Sciences
Github Skills (1)
modeling5
Github contributions (5)
sixisxu/Project_Alda
Jan 2017 - Mar 2017
Contributions:60 pushes, 3 branches in 1 month
sixisxu/persp-model
Jan 2017 - Mar 2017
Contributions:18 pushes, 13 branches in 2 months
macsmodelingcomputational-modelingcomputational
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