基本信息：
吴思迪(Sidi Wu)，女，2025年3月入职福州大学数学与统计学院。本科毕业于国际关系学院，专业为国际经济与贸易；硕士毕业于美国乔治华盛顿大学(The George Washington University, GWU)，专业为统计学；博士毕业于加拿大西蒙弗雷泽大学(Simon Fraser University, SFU)，师从曹际国(Jiguo Cao)教授和Cédric Beaulac教授，专业为统计学。研究兴趣主要包括函数型数据分析、机器学习、生存分析、图像数据分析等。
教育及工作经历：
2025/03 – 至今， 福州大学数学与统计学院，讲师
2018/09 – 2024/08， 西蒙弗雷泽大学统计与精算系，获博士学位
2014/08 – 2016/05， 乔治华盛顿大学统计系，获硕士学位
2010/09 – 2014/07， 国际关系学院，获学士学位
获奖情况：
1. 2023 SSC Student Research Oral Presentation Award, Statistical Society of Canada, 2023/05
2. Robin Insley Statistics Workshop Teaching Excellent Award, SFU, 2023/03
3. 2022 SSC Student Research Poster Presentation Award, Statistical Society of Canada, 2022/05
4. Dr. David Eaves Graduate Award in Statistics, SFU, 2021/03
5. Graduate Fellowship, SFU, 2019 – 2023
6. Graduate Merit Award, GWU, 2015 – 2016
主要论著:
1. Wu, S., Beaulac, C., & Cao, J. (2024). Functional autoencoder for smoothing and representation learning. Statistics and Computing, 34(6):203.
2. Wu, S., Beaulac, C., & Cao, J. (2023). Neural Networks for Scalar Input and Functional Output. Statistics and Computing, 33(5):118.
3. Beaulac, C., Wu, S., Gibson, E., Miranda, M. F., Cao, J., Rocha, L., Beg, M. F., & Nathoo, F. S. (2023). Neuroimaging feature extraction using a neural network classifier for imaging genetics. BMC Bioinformatics, 24(1).
4. Nie, Y., Opoku, E., Yasmin, L., Song, Y., Wang, J., Wu, S., Scarapicchia, V., Gawryluk, J., Wang, L., Cao, J., & Nathoo, F. S. (2020). Spectral dynamic causal modelling of resting-state fMRI: An exploratory study relating effective brain connectivity in the default mode network to genetics. Statistical Applications in Genetics and Molecular Biology, 19(3).
5. Thind, B., Wu, S., Groenewald, R., & Cao, J. (2020). FuncNN: An R package to fit deep neural networks using generalized input space. arXiv preprint arXiv:2009.09111v2.
