I am originally from San Diego, California, but left home to attend the U.S. Air Force Academy in Colorado Springs, graduating in 2014 with a B.S. in economics. I had the opportunity to complete a summer research program with my hometown San Diego Padres in 2013, analyzing ticket sales for their Business Analytics department. For my senior capstone project, my team was awarded a grant from the Naval Postgraduate School (NPS) to apply principles from game theory and auction theory to recommend improvements to the DOD acquisitions process — you can find our paper in the Publications section.

I am currently a Captain in the U.S. Air Force, and served as as an Operations Research Analyst for Air Mobility Command (AMC) Headquarters at Scott Air Force Base, Illinois. You can think of AMC as the FedEx of the military, and my directorate was responsible for conducting advanced analytics and decision support to senior leadership. AMC is a massive operation, with thousands of aircraft, missions, and people working to move millions of pounds of cargo all around the globe, so we had plenty of problems to solve. While working for AMC, I was able to complete my M.S. in Predictive Analytics from Northwestern University. My thesis research focused on developing and comparing predictive, econometric, and causal machine learning models of congressional elections, and can be found in the Publications section. I have also developed web apps for these models, which can be found in the 2018 Midterms section.

My military service will conclude in May 2019, and until then I will be a data science intern at Polco, a civic engagement platform based out of Madison, WI. I will be looking for data science jobs upon separation from the military. If you are interested in seeing my resume, please contact me.

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