Publications

Ma, Siying, Zadeh, M. Mehrdad, Chen, Wuyang, Cao, Jiguo, Ganesh, Vijay. Data-Efficient Operator Learning via Learning Fundamental Physics Knowledge. (Submitted to Neurips 2025).
Ma, Siying. 2024. Development of a disease analytic model for estimating the hidden population using the stratified-Petersen estimator. Master’s Thesis, Department of Mathematics and Statistics, University of Victoria. (Submitted to Biometrics)
Ma, Siying. 2021. eQTL Analysis with Auxiliary Information based on Multivariate Normal Hierarchical Bayesian Model. Undergraduate Thesis, East China Normal University (ECNU), Shanghai, China. (Available Upon Request)

Conference Presentations

Ma, Siying. Oral presentation entitled “Data-efficient Operator Learning based on Fundamental Physics Principle”, 2025 International Conference on Statistics and Data Science conference, Vancouver, Canada. (Upcoming Conference)
Ma, Siying. Oral presentation entitled “Development of Clinical Prediction Model for The Recurrence and Mortality of CDI Using Machine Learning Approach”, 2022 IQVIA Data Science AIML Conference, Virtual.

Acknowledge for leading the whole statistical analysis independently @IQVIA Advanced Analytics
Guo, et al. 2024. Clinical decision pathway and management of locally advanced head and neck squamous cell carcinoma: A multidisciplinary consensus in Asia-Pacific, Oral Oncology, Volume 148.
Ku, et al. 2024. Risk stratification and management of non-muscle-invasive bladder cancer: A physician survey in six Asia-Pacific territories. International Journal of Urology, Volume 31: 64-71.
Kikuchi, et al. 2024. Controversies in terminology associated with management of BCG-unresponsive NMIBC in Asia-Pacific. International Journal of Urology, Volume 31: 32-38.