He is currently a postdoctoral researcher in the Department of Management and Engineering at Tsinghua University, working on time series forecasting and causal inference under the supervision of Dr. Xiaojie Mao. Shuimu Tsinghua Scholar Program funds his research. He earned his Ph.D. in Statistics from The University of Manchester, where he was advised by Dr. Jingsong Yuan. He is open to collaborations and discussions on statistical time series forecasting. Please feel free to reach out to him at xixili0720@gmail.com.

Recent News

• 07-2024, Starting a new journey as a postdoc at Tsinghua University is amazing.
• 06-2024, Successfully been selected for Shuimu Tsinghua Scholar Program, (funding rate: 1/28)
• 03-2024, Ph.D. Graduation is fantastic.
• 07-2023, Recipient of Chinese Government Award for Outstanding Self-financed Students Abroad (600 young talents across the world)
• 09-2019, Recipient of Dean’s Doctoral Scholarship Award

Education

• September 2019—Jan 2024, Ph.D. in Statistics, The University of Manchester, UK.
• September 2016—July 2019, M. in Industrial Engineering, Beihang University, China.
• September 2013—July 2016, B.Ec in Applied Mathematics, Beihang University, China.
• September 2012—July 2016, B.Ec in Information Management and Information Systems, Beihang University, China.

Research Goal

Following three principles: interpretability, computability, and stability, his current research aims to:

• explore the role and the use of deep learning in statistical time series models, and bridge the gap between both.
• design and develop statistical time series models with deep learning components, while still ensuring rigorous statistical properties.
• develop computationally efficient statistical models for integer-valued time series.

Research Interests

• Time series forecasting
• Causal inference
• Deep learning
• Text mining
• Business intelligence