About me
I am a Lecturer (Assistant Professor) in the Discipline of Business Analytics at the University of Sydney Business School. Prior to joining USYD in 2024, I was fortunate to have worked with Prof. Qiwei Yao as a Post-Doctoral Research Officer at the London School of Economics and Political Science (LSE) from May 2022 to December 2023. My current research focuses on dynamic network analysis, functional data/time series analysis and high-dimensional statistics.
Education
I obtained my master degree in statistics at LSE with Winton Prize for Academic Excellence and completed my Ph.D. in Statistics at LSE under the supervision of Dr. Xinghao Qiao and Prof. Qiwei Yao in 2022.
Download my CV.
Research
Publications
- Chang, J., Fang, Q., Qiao, X. and Yao, Q. (2024). On the Modeling and Prediction of High-Dimensional Functional Time Series. Journal of the American Statistical Association, in press.
- Fang, Q., Guo, S. and Qiao, X. (2023). Adaptive Functional Thresholding for Sparse Covariance Function Estimation in High Dimensions. Journal of the American Statistical Association, 119(546), 1473–1485.
- Fang, Q., Guo, S. and Qiao, X. (2022). Finite Sample Theory for High-Dimensional Functional/Scalar Time Series with Applications. Electronic Journal of Statistics, 16(1), 527-591.
Preprints
- Chang, J., Fang, Q., Kolaczyk, E. D., MacDonald, P. W. and Yao, Q. (2024+). Autoregressive Networks with Dependent Edges.
- Fang, Q., Jiang, Q. and Qiao, X. (2024+). Large-Scale Multiple Testing of Cross-Covariance Functions with Applications to Functional Network Models.
- Fang, Q., Guo, S., Hong, Y. and Qiao, X. (2025+). On Robust Empirical Likelihood for Nonparametric Regression with Application to Regression Discontinuity Designs.
Teaching
- USYD - QBUS2820 Predictive Analytics, 2025S1, 2024S2
- USYD - QBUS6600 Data Analytics for Business Capstone, 2024S2
- LSE - ST309 Elementary Data Analytics, 2023/24, 2022/23, 2021/22, 2020/21
- LSE - ST109 Elementary Statistical Theory I, 2022/23
- LSE - ST107 Quantitative Methods (Statistics), 2021/22, 2020/21
- LSE - ST311 Artificial Intelligence, 2021/22
- LSE - ST443 Machine Learning and Data Mining, 2021/22, 2020/21, 2019/20
- LSE - ST102 Elementary Statistical Theory, 2019/20
- LPSS - Big Data: Data Analytics for Business and Beyond | LSE-PKU Summer School, Beijing, China, 5-18 August 2019
Awards
- The University of Sydney Business School Emerging Scholar Research Fellow, 2024-2026.
- LSE Class Teacher Awards (Highly Commended), 2022/23, 2020/21, 2019/20.
- LSE PhD Studentships, 2019-2023.
- Winton Prize for academic excellence in MSc Statistics/MSc Statistics (Financial Statistics), 2017.
- First Prize in the LSE Statistics Practitioners Challenge, 2017.
Contact Me
Room 4090, Abercrombie Building H70, The University of Sydney.
qin (dot) fang (at) sydney (dot) edu (dot) au