ROMAN GARAGULAGIAN Ph.D.

Roman Garagulagian is an Economist specializing in analytics and complex economic damages. He is experienced in applying economic theory, complex data, and quantitative methods to questions related to litigation. His doctoral dissertation applies advanced machine learning to economics.

Dr. Garagulagian has assisted several law firms with economic damages for class action settlement funds, mediations, and arbitrations. He has testified in multiple civil jury trials and depositions. His experience includes matters in business litigation, employment litigation,  personal injury litigation.

Dr. Garagulagian teaches graduate and undergraduate courses in finance including corporate finance, business forecasting, and financial modeling, investments, and financial derivatives. He has taught several courses since 2014 at Cal Poly Pomona’s Department of Finance Real Estate and Law.

Roman takes pride in serving the community. As a faculty advisor for the Armenian Students’ Association at Cal Poly Pomona, he serves his student community and as a journal reviewer for the Journal of Forensic Economics, he serves his academic community.

Dr. Garagulagian is a member of

  • The National Association of Forensic Economics
  • The American Economic Association
  • The Los Angeles Chapter of the National Association for Business Economics

Education

  • Ph.D. Economics, Claremont Graduate University

Email: Roman@Rule703.com

MATTHEW MCMAHON Ph.D.

Matthew McMahon is an expert economist with a robust research and management background. His expertise includes litigation support, economic analysis, financial modeling, business valuation, public policy analysis, business analytics, and macroeconomic forecasting.

Dr. McMahon has assisted several attorneys and consulting firms in determining economic damages relating to employment litigation, personal injury litigation, and commercial litigation. In addition, he has consulted in the areas of public policy analysis, business valuation, and developing econometric and statistical machine learning models for various applications.

Dr. McMahon earned his Ph.D. from Claremont Graduate University’s department of politics and economics. His dissertation applies machine learning techniques to predictive models of financial crises. Matthew teaches undergraduate and graduate courses in finance at California State Polytechnic University of  Pomona’s department of finance, real estate and law, as well as economics courses at California State University of San Bernardino’s department of economics.

Education

  • Ph.D. Economics, Claremont Graduate University
  • M.A. Economics, Claremont Graduate University
  • B.A. Economics, St. Mary’s College of Maryland

Email: Matt@Rule703.com

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