machine learning; spatial statistics; location-based services; mHealth; business performance prediction. Develop novel and efficient methods for important big-data applications in business analytics,information systems, finance, and environmental science.
Her research work has been published in permier and high-quality journals including Biometrics, Computational Statistics and Data Analysis, IEEE Transcations, Expert Systems with Applications, Quantitative Finance, and others.
BA 275 Foundations of Statistical Inference (formats taught: in-person, eCampus, honors)
BA 276 Introduction to Statistical Inference
BA 375 Applied Quantitative Methods/Data Analytics
BA 376 Applied Quantitative Methods
BA 555 Practical Business Analysis (MBA)
Xiaohui's email: FirstnameDotLastname at oregonstate.edu
Ph.D. Statistics, University of Chicago, 2012.
B.A. (Honors) Statistics and B.A. Economics, University of Chicago, 2006.
G.C.E. Advanced Level, Raffles Junior College (n.k.a. Raffles Institution), Singapore, 2002.
Assistant Professor of Quantitative Methods, College of Business, Oregon State University, 2014 - Present.
Adjunct Professor of Statistics, Department of Statistics, Oregon State University, 2016 - Present.
Postdoctoral Associate, Department of Management Science, University of Miami, 2012 - 2014.
Visiting Scientist, Institute for Mathematics Applied to Geosciences, National Center for Atmospheric Research, 2009.
INFORMS, American Statistical Association.
Byron L. Newton Award for Excellence in Teaching, Oregon State University, 2018.
Extended Campus Research Fellow, Oregon State University, 2015 - 2017.
Newcomb Associate Award for excellence in research, Oregon State University, 2015.
Consulting Award, Department of Statistics, University of Chicago, 2010.
Peer Review of Teaching Committee (Member: 2016-2017, 2018-2020; Chair: 2020 - 2021)
Peer Review of Research Committee (Member: 2017-2020)
Faculty Search Committe for Supply Chain & Logistics Management, Business Analytics
OREGON STATE UNIVERSITY
Open search box
