Moses Y.-H. Chan

Moses Y.-H. Chan is an Assistant Professor of Instruction in the Department of Industrial Engineering and Management Sciences at Northwestern University. He specializes in teaching courses at the intersection of statistics, data science, and engineering. His research focuses on computational methods for high-dimensional statistical analysis in physical sciences, particularly Gaussian process methods for Bayesian emulation and calibration. He is affiliated with the Bayesian Analysis of Nuclear Dynamics (BAND) collaboration framework.

Education:

• Ph.D. in Industrial Engineering and Management Sciences, Northwestern University (2023)
• M.S. in Industrial Engineering and Management Sciences, Northwestern University (2018)
• M.S.E. in Industrial and Operations Engineering, University of Michigan (2014)
• B.S.E. in Industrial and Operations Engineering, University of Michigan (2013)

Research interests include computational modeling, uncertainty quantification, and applications in nuclear physics and healthcare engineering. His work emphasizes bridging statistical theory with real-world decision-making through interdisciplinary collaboration.

Professional contributions include software development (e.g., surmise, ROSE) and prior experience in healthcare engineering at the University of Michigan's Center for Healthcare Engineering and Patient Safety (CHEPS). Teaching roles at Northwestern include courses in statistics, data engineering, and stochastic models.