Shihao Yang

I am a tenure-track Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech, with specialty in statistics, data science, and machine learning.

I received my Ph.D. in statistics from Harvard University in 2019, advised by Prof. Samuel Kou, after which I completed my post-doc training with Prof. Isaac Kohane in the Department of Biomedical Informatics at Harvard Medical School.

My primary research interest is to harness the power of big data to solve real-life problems. I am currently working on infectious disease modeling, dynamic system inference (parameter inference in differential equations), and electronic medical records mining.

I am also affiliated with Institute for Data Engineering and Science (IDEaS), Center for Machine Learning at Georgia Tech (ML@GT), and Institute of People and Technology (IPaT).

I am actively seeking students at all levels: undergraduate, master, or PhD. If you are interested in my research, please email me directly ( with your CV and transcript.

Research Illustration (2019)