He is a third-year Ph.D. student in Statistics at The University of Manchester, supervised by Dr. Jingsong Yuan. His research now is funded under the Dean's Scholarship Award offered by The University of Manchester.
He is scheduled to obtain a Ph.D. degree in 07/2023 and will be in a job market seeking a Postdoc position related to statistical machine learning and time series analysis. If you have vacancies for a job, feel free to share them with me.
Following three principles: interpretability, computability, and stability, his current research aims to:
- explore the role and use of deep learning in statistical time series models, and bridge the gap between both;
- design statistical time series models that incorporate the components of deep learning, while still ensuring rigorous statistical properties;
- develop computationally efficient statistical approaches for modeling integer-valued time series.
Apart from academic research, he has worked as a project manager in some enterprise-level big data projects and obtained rich experience in engineering and business applications. He has provided enterprises with some intelligent solutions for tackling real business problems like COPFNH (Crude Oil Price Forecasting Incorporating News Headlines), WPSESD (Word Prediction and Sentence Expression Standard Detection), and so on.
Time series analysis
Integer-valued time series