I received my Ph.D. in Statistics from the Department of Statistics at National Cheng Kung University, Taiwan. Since 2018, I have been actively involved in industrial statistics and data science applications, leading and participating in more than 15 projects related to manufacturing industries through collaborations with the Industrial Technology Research Institute (ITRI), National Cheng Kung University (as a postdoctoral researcher), and Chimes AI. My research focuses on two main areas: the theory and algorithmic generation of optimal experimental designs, and surrogate modeling and acquisition strategies in Bayesian optimization, with applications to engineering and manufacturing systems.
Table of Contents
Experience
- Assistant Professor | Department of Statistics, Nation Taipei University | Feb 2024 – Now
- Contract Research Fellow | Industrial Technology Research Institute 工業技術研究院 | Aug 2023 – Now
- Director of Technology | Chimes AI | Feb 2023 – Sept 2023
- Principal AI Engineer | Chimes AI | Apr 2022 – Jan 2023
- Postdoctoral Researcher | Department of Statistics, National Cheng Kung University | Sept 2020 – Mar 2022
- Engineer | Industrial Technology Research Institute 工業技術研究院 | Feb 2018 – Jul 2020
- Visiting Graduate Researcher | Department of Biostatistics, University of California, Los Angeles | Sept 2016 – Jul 2017
- QA Engineer | Unimicron Technology Corp. 欣興電子股份有限公司 | Sept 2012 – Feb 2013
Education
- Ph.D. in Statistics | Department of Statistics, National Cheng Kung University, Taiwan | 2018
- M.S. in Statistics | Department of Statistics, National Cheng Kung University, Taiwan | 2012
- B.S. in Applied Mathematics | Department of Mathematical Sciences, National Chengchi University, Taiwan | 2010
Publications
- Fang, X., Chen, P.-Y., Lei, W., Chen, R.-B., Wong, W. K., Lee, J. J. & Zhou, S. (2026+). A Unified Framework for Finding Multi-stage Optimal Designs with Particle Swarm Optimization. (Under Review)
- Chen, P.-Y., Fang, X., Chen, R.-B., Zhou, S., Lee, J. J. & Wong, W. K. (2026). Swarm-Based Search Procedure for Finding Multi-Stage Designs for Phase II Clinical Trials. Journal of Computational and Graphical Statistics, Accepted. (SCIE) [URL]
- Wong, W. K., Ryeznik, Y., Sverdlov, O., Chen, P.-Y., Fang, X., Chen, R.-B., Zhou, S., & Lee, J. J. (2025). Nature-inspired Metaheuristics for Optimizing Dose-Finding and Computationally Challenging Clinical Trial Designs. Clinical Trials, 22(4), 422-429. (SCIE) [URL]
- Stehlík, M., Chen, P. Y., Wong, W. K., & Kiseľák, J. (2024). A Double Exponential Particle Swarm Optimization with Non-uniform Variates as Stochastic Tuning and Guaranteed Convergence to a Global Optimum with Sample Applications to Finding Optimal Exact Designs in Biostatistics. Applied Soft Computing, 163, 111913. (SCIE) [URL]