Industrial engineering, operations research, and systems engineering are fields of study intended for individuals who are interested in analyzing and formulating abstract models of complex systems with the intention of improving system performance. Unlike traditional disciplines in engineering and the mathematical sciences, the fields address the role of the human decision-maker as key contributor to the inherent complexity of systems and primary benefactor of the analyses.
Georgia Tech pursues leading-edge research with industry, government, and community partners.
At ISyE, we are a national leader in 10 core research areas: Advanced Manufacturing, Analytics and Big Data, Economic Decision Analysis, Health, Optimization, Statistics, Stochastics and Simulation, Supply Chain Engineering, Sustainable Systems Engineering, and System Informatics and Control.
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I am a Ph.D. candidate for Operations Research at the H. Milton Stewart School of Industrial & Systems Engineering (ISyE) at Georgia Tech. My research focuses on medical decision making, specifically focusing on cardiovascular disease and infectious disease modeling. I formulate, analyze, and solve models regarding prediction, screening, and treatment decisions. Since such problems tend to be probabilistic in nature, much of my work uses stochastic models such as Markov decision processes, bandit models, and stochastic optimization. Simulation is a keystone of being able to evaluate my solutions. I also use statistical methodologies such as survival analysis and changepoint detection.
In addition to operations research and math, I have assisted with research on STEM education, studying effective rubric design and alternative classroom teaching environments (such as the flipped classroom).
I am passionate about teaching, and hope to obtain a teaching focused role upon graduation.