Roman Garagulagian is an economist specializing in analytics and determining economic damages. He is experienced in applying economic theory, complex data, and quantitative methods to questions related to litigation. His dissertation applies machine learning to predicting recession probabilities. Dr. Garagulagian’s work has focused primarily on the analysis of lost earnings resulting from the death or injury conduct and damages in various matters. His experience in employment includes analysis of injury for gender discrimination and wage and hour litigation. Dr. Garagulagian also has conducted analyses of wrongful termination and other employment litigation. Dr. Garagulagian teaches graduate and undergraduate courses in finance including corporate finance, business forecasting, and financial modeling and investments. He has taught multiple courses in over 500 teaching hours at Cal Poly Pomona’s Department of Finance Real Estate and Law. Dr. Garagulagian is a journal reviewer for the Journal of Forensic Economics.
Dr. Garagulagian is a member of
Matthew is an Economist with a robust research and management background. His specializations include Finance, Management, and Neuro-Economics, primarily using financial modelling to apply data in decision making. Matthew’s experience includes work as the senior director of a mid-market investment fund, Crest Point LLC and as a senior research associate and the lab manager of Claremont’s Center for Neuro-economic Studies. Matthew earned his M.A. in Economics from Claremont Graduate University in 2012 as well as a Ph.D at CGU’s Department of Economics. His dissertation applies machine learning to predictive models of financial crises. Matthew has taught undergraduate courses in finance at Cal Poly Pomona’s Department of Finance Real Estate and Law.