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
Education
Experience
Publications
Packages
Scholarships and Awards
Conference/Seminars Presentation
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 詠鋐智能股份有限公司 | Feb 2023 – Sept 2023
- Principal AI Engineer | Chimes AI 詠鋐智能股份有限公司 | 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
- P.-Y. Chen, R.-B. Chen, and W. K. Wong, “Particle swarm optimization for finding efficient longitudinal exact designs for nonlinear models”, The New England Journal of Statistics in Data Science, vol. 1, no. 3, pp. 299–313, 2023.
- P.-Y. Chen, R.-B. Chen, Y.-S. Chen, and W. K. Wong, “Numerical methods for finding A-optimal designs analytically”, Econometrics and Statistics, vol. 28, pp. 155–162, 2023. (ESCI)
- P.-Y. Chen, H.-M. Chang, Y.-T. Chen, J.-Y. Tzeng, and S.-M. Chang, “TensorTest2D: Fitting generalized linear models with matrix covariates.”, R Journal, vol. 14, no. 2, pp. 152–163, 2022. (SCIE)
- P.-Y. Chen, R.-B. Chen, J.-P. Li, and W. Li, “Particle swarm exchange algorithms with applications in generating optimal model-discrimination designs”, Quality Engineering, vol. 34, no. 3, pp. 305–321, 2022. (SCIE)