Timothy H. Savage, Ph.D. is the Senior Managing Economist at CBRE Econometric Advisors, the internal data science organization of the world’s largest commercial real estate developer. He is also a visiting scholar at NYU CUSP, where he helped to develop the Applied Data Science curriculum.
Dr. Savage has nearly 20 years of experience in business consulting focused on complex quantitative analysis. He is currently focused on applying a large array of machine learning techniques to proprietary commercial real estate data. His published research includes the use of semi-supervised machine learning to examine hypotheses ranging from labor mobility to consumer demand. He is currently focused on causal inference using machine learning, large-scale simulation of business strategies to determine profitability, and the application of deep learning in finance. His GitHub page is: https://github.com/