Mo Li
Assistant Professor
Statistics
439 Maxim Doucet Hall
337-482-6703
mo.li@louisiana.edu
Ph.D. in Systems Modeling and Analysis, 2021, Virginia Commonwealth University
M.S. in Operations Research, 2018, Virginia Commonwealth University
B.S. in Biology and Statistics, 2015, The University of New Mexico
B.S. in Biology, 2013, Northwest University, China
I joined the Department of Mathematics at the University of Louisiana at Lafayette as an assistant professor in August 2023. I earned my PhD in the System Modeling and Analysis Program with a concentration in statistics and data science from Virginia Commonwealth University in 2021. Under Dr. QiQi Lu’s supervision, my research delved into changepoint detection in correlated categorical time series. I also hold an MS in Operations Research from Virginia Commonwealth University and a dual major BS in Statistics and Biology from the University of New Mexico (jointly awarded by Northwest University, China). After obtaining my PhD, I conducted postdoctoral research under Dr. Ni Zhao at Johns Hopkins Bloomberg School of Public Health.
My research interests span categorical time series, changepoint detection, microbiome and T-cell receptor sequencing data analysis, and statistical applications in the environmental and biological sciences. Interdisciplinary collaborations with researchers from various fields form another essential part of my research program. I am also dedicated to mentoring graduate and undergraduate students, guiding their research projects through my expertise and our collaborative efforts.
Selected research publications:
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Li, Mo, Robert E. Tyx, Angel J. Rivera, Ni Zhao, and Glen A. Satten. What Can We Learn about the Bias of Microbiome Studies from Analyzing Data from Mock Communities?,
Genes, 13 (2022) no. 10, 1758 -
Li, Mo and QiQi Lu. Changepoint detection in autocorrelated ordinal categorical time series,
Environmetrics, 33 (2022) no. 7, e2752