I received my Ph.D. in Statistics at the Dept. of Statistics, National Cheng Kung University, Taiwan, and started my expertise service in industrial statistics in 2018. I led and participated in at least 15 data science projects related to the manufacturing industry in ITRI, NCKU(postdoc), and Chimes AI. My research interest covers a) the theory and algorithmic generation of optimal experiment designs; and b) the surrogate modeling and acquisition strategies in Bayesian optimization.
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.(2025+). 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. (2025+). Swarm-Based Search Procedure for Finding Multi-Stage Designs for Phase II Clinical Trials. (Under Review)
- 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. (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]