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 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.
ISyE's faculty and staff members strive to provide a world-class educational experience for the Stewart School's undergraduate and graduate students, and to forge long-lasting relationships with ISyE alumni and industry partners. If you have benefited from a connection with an ISyE faculty or staff member, feel free to take a moment to send a thank-you note to that person via this web form.
You can stay in touch with all things ISyE through our news feed, by reading one of our publications, or attending one of our upcoming events. ISyE employs some of the world’s most experienced researchers in their fields who enjoy sharing their perspectives on a wide variety of topics. Our faculty is world-renowned and our students are intellectually curious. Our alumni can be found around the globe in leadership positions within a wide variety of fields.
Shihao Yang received his Ph.D. in statistics from Harvard University in 2019, advised by Prof. Samuel Kou. He is currently a post-doc with Prof. Isaac Kohane in the Department of Biomedical Informatics at Harvard Medical School. His primary research interest is to harness the power of big data to solve real-life problems, with focus on three perspectives: methodological development, computational tools, and probabilistic modeling.
On methodology, he developed methods for infectious disease prevalence forecast based on internet search data, and built a tailor-made matching method to study cancer immunotherapy with electronic health data. On computation, he introduced a new method for parallelizable Markov chain Monte Carlo, and another fast approximation method for inference in dynamic systems. On probability, he proposed novel stochastic differential equations to capture the underlying dynamics of high-speed, high-volume financial market transitions.
On August 15, 2020 Shihao will join ISyE at Georgia Tech as a tenure-track Assistant Professor.
H. Milton Stewart School of
Industrial and Systems Engineering
755 Ferst Drive, NW, Atlanta, GA 30332