Dan Zhao

Dan Zhao is a seasoned data scientist currently serving as a Senior Data Scientist at Fanatics since October 2025, focusing on the trading and quantitative domain within Fanatics Betting and Gaming, specializing in model evaluation, machine learning, and causal inference. Prior to this role, Dan worked as an Economist Associate at Cornerstone Research from September 2022 to October 2025, tackling complex data challenges for major public companies utilizing tools such as SQL and Python. From August 2019 to July 2022, Dan held a Postdoctoral Research Associate position at Washington University in St. Louis, leading research projects in collaboration with Equifax and Mastercard. Dan holds a Ph.D. in Business Economics from the University of Michigan and a BBA in Quantitative Finance and Risk Management from the City University of Hong Kong, along with an exchange program in Economics and Finance from Indiana University.