Our experts have extensive experience in economic modeling, statistical sampling, and data analysis. Experts in our network have implemented empirical analysis and data analytics to approach economic and financial issues in a variety of contexts.

Vega is committed to finding the perfect expert for each case. A few of the academic and industry professionals in our network include:

Rajeev Bhattacharya
Professor of Finance at R.H. Smith School of Business at the University of Maryland
  • Antitrust & Competition
  • Securities
  • Statistical Analysis
  • Valuation & Damages
Daniel Bauer
Hickman-Larson Chair in Actuarial Science and Associate Professor of Risk and Insurance at Wisconsin School of Business, University of Wisconsin-Madison
  • Insurance & Risk
  • Statistical Analysis
Jay Vadiveloo
Professor at the University of Connecticut and Director of the Janet & Mark L Goldenson Center for Actuarial Research at the University of Connecticut
  • Insurance & Risk
  • Statistical Analysis
Michael A. Sadler
Senior lecturer in the Department of Finance and the Department of Economics at the McCombs School of Business at University of Texas at Austin
  • Energy & Environmental Economics
  • Statistical Analysis
  • Valuation & Damages
Ethan Cohen-Cole
Managing Director at Vega Economics
  • Consumer Finance
  • Financial Institutions
  • Healthcare & Health Economics
  • Securities
  • Statistical Analysis
  • Valuation & Damages
Richard Libby
Founding Director, Perihelion Capital Advisors
  • Corporate Finance
  • Financial Institutions
  • Statistical Analysis
Cecilia Mo
Assistant Professor of Political Science at University of California, Berkeley
  • Statistical Analysis
Frederico Finan
Associate Professor at the University of California, Berkeley
  • Statistical Analysis
Xiaodong Liu
Associate Professor in the Department of Economics, University of Colorado, Boulder
  • Statistical Analysis
Shu Shen
Associate Professor in the Department of Economics, University of California, Davis
  • Labor & Employment
  • Statistical Analysis