Daniel received his Ph.D. from Harvard University, where he wrote his thesis on expectations and unemployment in macroeconomic models. With ongoing research in dynamic macroeconomic modeling and R&D spillovers, Dan brings vital macroeconomic, modeling and data analysis expertise to the Life Sciences practice at Data for Decisions.