Miguel specializes in the application of data analytics to solve complex issues in business operations and litigation. He has developed sophisticated supply chain network optimization models to reduce costs and built predictive models used to drive smarter operational decisions. In his securities, antitrust, and general business litigation engagements, he has supported academic and industry experts in their analysis of litigation claims, evaluation of opposing experts’ opinions, and formation of well-supported rebuttal arguments. Miguel holds a BS in Chemistry and a BSE in Chemical Engineering from the University of Michigan, Ann Arbor.