CV

Education

• Ph.D in Statistics, University of Kent, 2021
• M.S. in Statistics, Yunnan University, 2012
• B.S. in Statistics, Yunnan University, 2009

Work experience

• October 2023 – Now : Neuroimaging Data Analyst KTP Associate
  • University of Kent and Innovision IP Ltd.
• September 2021 – September 2023: Research Officer
  • The London School of Economics and Political Science
• Summer 2021: Research Assistant
  • University of Kent

Skills

• Interpersonal Skills:
  • Problem-solving
  • Team Work
  • Time and task management
  • Risk management
  • Project management
  • Leadership
  • Critical thinking
• Technical skills:
  • R
  • Python (Tensorflow, Pytorch)
  • C++/C
  • Matlab
  • LaTeX
  • SQL
  • Git
  • Linux
  • Cluster computing
  • Microsoft Office

Publications

Bayesian Inference General Procedures for A Single-subject Test Study Permalink

Jie Li^📧, Gary Green, Sarah J. A. Carr, Peng Liu and Jian Zhang. Bayesian Inference General Procedures for A Single-subject Test Study, Neuroscience Informatics. Volume 5, Issue 2, June 2025 DOI:10.1016/j.neuri.2025.100195.

Modelling Loss of Complexity in Intermittent Time Series and its Application Permalink

Jie Li^📧, Jian Zhang, Samantha L. Winter, Mark Burnley. Modelling Loss of Complexity in Intermittent Time Series and its Application. arXiv (2024).

Authors’ reply to the Discussion of ‘Automatic Change-Point Detection in Time Series via Deep Learning’ at the Discussion Meeting on ‘Probabilistic and statistical aspects of machine learning’ Permalink

Jie Li^📧, Paul Fearnhead, Piotr Fryzlewicz and Tengyao Wang (2024). Authors’ reply to the Discussion of ‘Automatic Change-Point Detection in Time Series via Deep Learning’ at the Discussion Meeting on ‘Probabilistic and statistical aspects of machine learning’. Journal of the Royal Statistical Society Series B: Statistical Methodology, Volume 86, Issue 2, April 2024, Pages 332–334, https://doi.org/10.1093/jrsssb/qkae008.

Automatic Change-Point Detection in Time Series via Deep Learning Permalink

Jie Li^📧, Paul Fearnhead, Piotr Fryzlewicz and Tengyao Wang (2024). Automatic Change-Point Detection in Time Series via Deep Learning, Journal of the Royal Statistical Society Series B: Statistical Methodology (with discussion) Volume 86, Issue 2, April 2024, Pages 273–285, https://doi.org/10.1093/jrsssb/qkae004.

Statistical Inference for High-dimensional Nonparametric Models (PhD Thesis) Permalink

Jie Li (2021). Statistical Inference for High-dimensional Nonparametric Models. Kent Academic Repository. DOI:10.22024/UniKent/01.02.89925.

Factorized Estimation of High-Dimensional Nonparametric Covariance Models Permalink

Jian Zhang and Jie Li (2021). Factorized estimation of high-dimensional nonparametric covariance models. Scandinavian Journal of Statistics. DOI:10.1111/sjos.12529.

Confidence interval construction for the difference between two correlated proportions with missing observations Permalink

Niansheng Tang, Hui-Qiong Li, Man-Lai Tang and Jie Li (2015). Confidence interval construction for the difference between two correlated proportions with missing observations. Journal of Biopharmaceutical Statistics ,26:2, 323-338. DOI:10.1080/10543406.2014.1000544.

Talks

Automatic Change-Point Detection in Time Series via Deep Learning

December 18, 2023

Contributed Talk at CMStatistics conference, Berlin, Germany

Automatic Change-Point Detection in Time Series via Deep Learning

September 06, 2023

Invited Talk at RSS Discussion meeting, Harrogate, UK

Automatic Change-Point Detection in Time Series via Deep Learning

July 13, 2023

Contributed Talk at The 1st Joint Conference on Statistics and Data Science, Beijing, China

Factorized estimation of high-dimensional nonparametric covariance models.

June 29, 2022

Contributed Talk at IMS Annal Meeting: Probability and Statistics,, London, UK

Teaching

Teaching Certifications and Experience

Teaching Assistant 2019-2020

Teaching Assistant 2018-2019

Teaching Assistant 2017-2018

Teaching in China