Name：Zheyuan Li

Title：Dr.

Office：501

Email：13937871312@163.com

Research Field：nonparametric smoothing, generalized additive models, statistical computing

Education：

2012.10-2018.12, PhD Statistics, University of Bath (UK),

2011.10-2012.09, MRes Statistics, University of Bristol (UK)

2007.09-2011.07, BSc Mathematics, Henan University

Position：

2019.01-, Henan University, Assistant Professor

2021.01-, Simon Fraser University (Canada), Postdoctoral Research Fellow

Selected publications：

[1] Ahmed Elhakeem, Kate M. Tilling, Rachael A. Hughes, Diana L. Cousminer, Stefan A. Jackowski, Tim J. Cole, Alex S.F. Kwong, Zheyuan Li, Struan F.A. Grant, Adam D.G. Baxter-Jones, Babette S. Zemel, Deborah A. Lawlor (2021). Using linear and natural cubic splines, SITAR, and latent trajectory models to characterise nonlinear longitudinal growth trajectories in cohort studies, medRxiv. DOI: https://doi.org/10.1101/2021.05.26.21257519

[2] Zheyuan Li and Simon Wood (2019). Faster model matrix crossproducts for large generalized linear models with discretized covariates, Statistics and Computing, DOI: https://doi.org/10.1007/s11222-019-09864-2

[3] Simon N. Wood, Zheyuan Li, Gavin Shaddick & Nicole H. Augustin (2017). Generalized Additive Models for Gigadata: Modeling the UK's Black Smoke Network Daily Data, Journal of the American Statistical Association. DOI: https://doi.org/10.1080/01621459.2016.1195744

Research Funding：

1. Online algorithms of GAMs for streaming data, National Natural Science Foundation of China(1200116)，2021.01-2023.12, PI

Teaching：

Time series analysis with R, Applied statistical software with R