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Shihao Yang is a Harold E. Smalley Early Career Professor and tenure-track Assistant Professor at the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He specializes in statistics, data science, and machine learning. He earned his Ph.D. in Statistics from Harvard University in 2019, where he was advised by Professor Samuel Kou. His post-doctoral training was completed in 2020 under Professor Isaac Kohane in the Department of Biomedical Informatics at Harvard Medical School. His primary research interest lies in harnessing the power of big data to solve real-life problems, focusing on methodological development, computational tools, and probabilistic modeling. Recently, his research has involved infectious disease modeling, dynamic system inference, specifically parameter inference in differential equations, and mining electronic medical records.
Department of Computer Science: GRE scores are optional for Fall 2026.