郭炤裕-en – NYCU

Professor Chao-Yu Guo

Mail : cyguo@nycu.edu.tw

Tel : 02-2826-7000#67945

Education

2004 Ph.D. Boston University School of Public Health (Biostatistics), Boston, MA, USA
2000 M.S. National Taiwan University School of Public Health (Biostatistics), Taiwan
1998 B.S. National Chen Chi University (Applied Mathematics), Taiwan

Experience

2015-present Associate Professor, Institute of Public Health, National Yang Ming University, Taipei, Taiwan
2011-2015 Assistant Professor, Institute of Public Health, National Yang Ming University, Taipei, Taiwan
2010-2011 Assistant Professor, Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
2008-2010 Assistant Professor, Department of Pediatrics, Harvard Medical School, Boston, MA
2004-2007 Research Assistant Professor, Department of Mathematics and Statistics, Boston University, Boston, MA

Professional Specialty

Machine Learning, Artificial Neural Networks, Big Data Analytics, Biostatistics, Biomedical Statistica Model, Statistical Genetics

Selected Publication

Wang YW, Yang HC, Chen YH, Guo CY*. Generalized Estimating Equations Boosting (GEEB) Machine for Correlated Data. J Big Data 11, 20 (2024).
https://doi.org/10.1186/s40537-023-00875-5
Chu YC, Chen YH, Guo CY*. Pseudo Datasets Explain Artificial Neural Networks. Int J Data Sci Anal (2024). https://doi.org/10.1007/s41060-024-
00526-9.
Li YS., & Guo CY*. Random logistic machine (RLM): Transforming statistical models into machine learning approach. Communications in Statistics – Theory
and Methods (2023), 1–9. https://doi.org/10.1080/03610926.2023.2268767
Guo CY* and Lin YJ, "Random Interaction Forest (RIF)–A Novel Machine Learning Strategy Accounting for Feature Interaction," in IEEE Access, vol. 11,
pp. 1806-1813, 2023, doi: 10.1109/ACCESS.2022.3233194.
Guo CY*, Huang HY, Kuo PC, Chen YH. Extensions of the Distributed Lag Non-Linear Model (DLNM) to Account for Cumulative Mortality.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 2021; :doi:
10.1007/s11356-021-13124-0. Online ahead of print. PMID: 33735414

Selected Advisee Thesis

Optimal Tests For Family-Based Gene-Environment Interaction Using Sequence Kernel Association Test
Statistical prediction models for acute heart failure
Multivariate Approaches for the Distributed Lag Non-Linear Model
新模型選取策略 – 逐步支援向量機
Gradient Boosting the Youden Index – A new strategy to find the optimal biomarker combination