Christian Höpfner-Schubert

Christian Hung is a seasoned professional in machine learning and economics with extensive experience in academia and industry. Currently serving as a Senior Machine Learning Engineer at CoStar Group, Christian previously worked as an Applied Scientist at Uber, where predictive modeling and data visualizations significantly improved resource allocation and revenue efficiency. Teaching roles at Miami University and Vanderbilt University focused on economics and data analysis, while earlier experiences at the Federal Reserve Bank of Kansas City and Mather LifeWays involved applying econometric techniques and enhancing financial processes. Christian holds a BA in Economics and Philosophy from Northwestern University, an MA in Economics, and is an ABD Ph.D. candidate from Vanderbilt University, complemented by an MS in Mathematics and Statistics from the University of Missouri-Kansas City.