Christian Hung

Christian Hung is a seasoned professional with extensive experience in machine learning and economics. Currently serving as a Senior Machine Learning Engineer at CoStar Group, Christian previously held the position of Applied Scientist at Uber, where significant contributions included optimizing resource allocation with predictive modeling and reducing execution time through machine learning deployments. Earlier roles included instructing economics at Miami University, performing research at Vanderbilt University as a Teaching/Research Assistant and GIS Specialist, and applying econometric techniques at the Federal Reserve Bank of Kansas City. Christian's background also encompasses analytical and forecasting roles at Mather LifeWays and an early internship at IBM. Christian holds a Bachelor of Arts degree in Economics and Philosophy from Northwestern University, and multiple degrees in Economics and Mathematics from Vanderbilt University and the University of Missouri-Kansas City.