Patricia specializes in the design, development, and implementation of large-scale, high impact systems that help businesses optimize their decision-making at the strategic, tactical, and operational levels. Her background in engineering enables her to successfully translate complex mathematical models to the messy realities of business. She leads development, testing, and deployment of optimization and machine learning systems; managing business-critical advanced analytics projects in transportation, manufacturing, biotech, finance, and advertising.

In her optimization and analytics projects, she works on-site with client executives and subject matter experts, and with a team of optimizers, software developers, data scientists and mathematicians, using many different approaches and algorithms to create functional models that quickly deliver the best possible results for very complex, real-world problems. The optimization and analytics models are custom-designed for each client to capture the nuances of their individual business operations.

Patricia joined Princeton in 2007, and has earned promotions leading to Director, where she is responsible for leading Princeton teams to ensure complete client satisfaction and success. She holds a PhD in Industrial Engineering from Clemson University.

Patricia presented “Optimization Powers a New Operating Universe at Birchbox” as a featured speaker at Gurobi Days in Dallas in February 2020. She is the author of the cover article of INFORMS Analytics Magazine July/August 2018 issue, “How to Avoid Chaos in the Field by Combining Simulation and Optimization.” She presented at AnyLogic Conference 2019 on simulation and optimization for a biotech manufacturer.