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.
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At ISyE, we are a national leader in 10 core fields of specialization: Advanced Manufacturing, Analytics and Machine Learning, Applied Probability and Simulation, Data Science and Statistics, Economic Decision Analysis, Energy and Sustainable Systems, Health and Humanitarian Systems, Optimization, Supply Chain Engineering, and Systems Informatics and Control.
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I am a fourth-year Ph.D. student in Stewart School of Industrial & Systems Engineering at Georgia Tech, majoring in Statistical Machine Learning. My research interests lie in the intersections of high-dimensional statistics and deep learning theory.
I am advised by Prof. Xiaoming Huo. I earned a M.Sc. degree in Statistics at Georgia Tech in 2018. Prior to Georgia Tech, I received a B.Sc. degree from Korea University in 2015, with major in Industrial Engineering.