Brian Asquith is an applied microeconomist specializing in labor, urban/regional, and public economics. Research interests include the aging of the American workforce, machine learning applications in economics, housing and rent control, and the decline of mobility in the United States. Asquith’s work on rent control won two national awards, including the American Real Estate and Urban Economics Association (AREUEA) Homer Hoyt Best Dissertation Prize. A short excerpt will appear in the 2019 edition of AEA Papers and Proceedings. Currently, he is researching why older workers, who are facing rising financial distress and job displacement, are increasingly less likely to relocate; the impact of new market-rate housing in poorer neighborhoods, and the impact of city minimum wages on employment and business formation. Asquith joined the Upjohn Institute in 2018 after being an Alfred E. Sloan postdoctoral fellow at NBER. Asquith received his PhD in economics from the University of California, Irvine in 2017 and studied mathematics and economics at Brandeis University as an undergraduate.