Summary
Alex Zhao is a data scientist with a Ph.D. in statistics and about a decade of experience building and shipping predictive and inferential models across fintech, retail, gaming, and consulting. At Wealthfront he focuses on growth analytics, and previously at BCG/BCG X he delivered production-grade ML pipelines and optimization solutions—forecasting billions in spend, generating tens of millions of personalized offers, and identifying new portfolio locations. His academic work on high-dimensional inference and hypothesis testing informs robust modeling choices in GLMs and partial linear models, while hands-on NLP, bioinformatics, and A/B testing experience enable practical, explainable results. Alex combines deep statistical theory with cloud-scale engineering (Azure, PySpark, Databricks) and has a track record of turning complex research into performant, deployable systems. An understated strength is his history of teaching and clear technical communication, having lectured large undergraduate courses and written reproducible research and software for high-performance computing environments.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at Penn State University
Bachelor of Arts Economics, Bachelor of Arts Economics at University of Chicago
English, Chinese