Currently, I am postdoctoral fellow in the department of Chemical and Biological Engineering at UW-Madison. My postdoctoral work is two-fold: chemical engineering education and Process Systems Engineering (PSE) research. In the education front, I am working with Dr. William F. Banholzer on enhancing the chemical engineering curriculum by developing business simulations designed to reinforce how the fundamentals of mass/energy balances, process flow simulation, and other engineering practices define successful commercial chemical processes. Regarding PSE research, I am working with Dr. Christos T. Maravelias on the analysis of the economics and dynamics of a solar refinery. Two major considerations of the work include the intermittency of the renewable energy source and the storage of intermediates to ensure continuous downstream production of value-added chemicals and liquid fuels.
I received my Ph.D. in chemical engineering from Carnegie Mellon University and was advised by Dr. Ignacio E. Grossmann. My Ph.D. research can be broadly classified as Enterprise-Wide Optimization (EWO), which is a subarea of PSE. Specifically, I have worked on production scheduling and planning of chemical plants with batch and continuous processes. A significant part of my work has been on the development of data-driven methods for optimization under uncertainty. These methods rely on probability and statistics concepts to assist in uncertainty modeling and quantification frameworks.
Prior to my Ph.D., I obtained a B.S. in chemical engineering at PUC-Rio (Brazil). My final-year project was related to data reconciliation and parameter estimation in chemical engineering processes. In addition, I was an exchange student for two semesters at UC Berkeley where I had the honor to contribute to the Leonardo Project (formerly Bronowski Project) organized by Dr. John M. Prausnitz.