Felipe Feijoo is a Postdoctoral researcher at the Systems Institute in the Whiting School of Engineering, The Johns Hopkins University.

He obtained his B.S. in Engineering Sciences at the Universidad de La Frontera, Chile. Thereafter, he pursued his Master degree (2011) and Ph.D. (2015) in Industrial Engineering at the University of South Florida, Tampa.  

His current research involves the application of stochastic complementarity models and economics to analyze the opening of clinical trials and the pharmaceutical market in the U.S. 

His research also focuses on the application of mathematical programming, game theory, and statistics for decision making in sustainable electricity markets. He worked on a mathematical-statistical framework to developed Pareto designs of cap-and-trade carbon policies with high penetration of green energy via micro-grids. Other research interests include health-economics and predicting-forecast modeling using machine learning techniques. Felipe has also worked and led several projects for the Tampa Electric Company (TECO), Florida.