In this second episode of the Real Estate AI & Analytics webinar series, Dr. Tim Savage from NYU will join us to talk about ways AI and machine learning can be used to better understand macroeconomic trends in the real estate market.  With over two decades of experience at Charles River Associates, a leading quantitative consulting firm, and as the former Chief American Economist at CBRE Econometric Advisors, Dr. Savage has worked heavily with data in order to develop insights and solutions to better understand economic movements and how those movements have impacted major international banks and financial institutions. Please join us at 6:00 PM on March 23rd for our discussion with Dr. Savage.

About the Speaker

Professor Timothy Savage Timothy H. Savage is a Clinical Assistant Professor at the NYU Schack Institute of Real Estate, where he is the Faculty Director of the CREFC Center for Real Estate Finance and the Faculty Co-Director of the NYU SPS Applied Analytics Lab. He is the former Senior Managing Economist and Principal Data Scientist of CBRE Econometric Advisors (the former Torto Wheaton Research Group). Tim is an economist with nearly 25 years of experience at international consulting firms such as Charles River Associates and Navigant Consulting.  His focus is the use of machine learning to evaluate business strategy, in particular the uses of Bayesian analysis and Monte Carlo simulation.  He speaks frequently to institutional investors in commercial real estate on macroeconomics, monetary and fiscal policy, and the potential impacts of big data and technological disruption. His research has been twice discussed in the Economist, and he has addressed the National League of Cities on uses of big data in policymaking and the National Association of Realtors on macroeconomics and monetary policy. His comments have appeared in The Commercial Observer, The New York Post, GlobeSt, PERE Magazine, Pix 11, PropModo, the Wall Street Journal and Vox Media. He is a Former Distinguished Fellow of the NAIOP Research Foundation, a member of the Counselors of Real Estate (CRE) and a mentor at the Real Estate Research Institute (RERI). Tim holds a Ph.D. in economics from the University of North Carolina at Chapel Hill with concentrations in microeconomics and econometrics.

About the Host

Josh Panknin is currently a member of the Center for Artificial Intelligence in Business Analytics and Financial Technology where he serves as the Director of Real Estate Artificial Intelligence Research & Innovation in the School of Engineering and Applied Science at Columbia University. He joined Columbia in 2016 and is the former Director of Real Estate Technology Initiatives at Columbia Engineering. His focus is on using practical applications of artificial intelligence and machine learning to address inefficiencies and create new capabilities within real estate.

Prior to academia, Josh spent 12 years in various roles in real estate. He was Head of Credit Modeling and Analytics at Deutsche Bank’s secondary CMBS trading desk, where he helped develop and implement automated models for CMBS loan and bond valuation. He also worked at the Ackman-Ziff Real Estate Group and in various other roles in research, acquisitions, and redevelopment. Josh has a master’s degree in finance from San Diego State University, a master’s degree in real estate finance from New York University’s Schack Institute of Real Estate, and is currently pursuing degrees in applied mathematics and data science at Columbia University.