Contact Information

@Mailing Address

@@Institute of Epidemiology and Preventive Medicine
@@College of Public Health
@@National Taiwan University
@@No.17, Xu-Zhou Road, Rm523
@@Taipei 10055, Taiwan








@Ph.D. (Statistics), 1994, Carnegie Mellon University
@M.S. (Statistics), 1989, Carnegie Mellon University
@B.S. (Mathematics), 1986, National Tsing Hua University


@Institute of Epidemiology and Preventive Medicine, Professor, 2003-present. 
@Department of Public Health, National Taiwan University, Professor, 2006-present. 

@College of Public Health, National Taiwan University, Associate Dean, 2011-2013.
@Department Head, Department of Public Health, National Taiwan University, 2011-2013.
@Master of Public Health (MPH) Degree Program, Director, 2011-2013.
     Institute of Epidemiology and Department of Public Health, National Taiwan University, 
          Professor, 2003-pesent; Acting Director, Aug.-Dec. 2005;  
          Associate Professor, 1995-2003; Instructor, 1994-1995. 
     Department of Public Health, National Taiwan University, 
          Adjunct Professor, 2005-2006; Adjunct Associate Professor, 2002-2004.
     Institute of Oral Biology, College of Medicine, National Taiwan University, 
@@Adjunct associate professor, 1997-2001

Editorial and Professional Activities:

@Editorial Board
@@PLoS ONE, academic editor, 2011-present;
@@Frontiers in Statistical Genetics and Methodology, review editor, 2011-present;
@@Taiwan Journal of Public Health, associate editor, 2006-present;
@@The Open Statistics and Probability Journal, editorial board, 2009-present.
@@Bulletin (of the Institute of Mathematics, Academia Sinica);
@@Computational Statistics and Data Analysis;
@@Epidemiology and Infection;
@@Environmental and Ecological Statistics;
@@European Journal of Human Genetics;
@@Journal of Applied Statistics;
@@Journal of Biomedical Informatics;
@@Journal of Biomedical Science;
@@Journal of Biopharmaceutical Statistics;
@@Journal of Clinical Epidemiology;
@@Journal of Probability and Statistical Science;
@@Journal of the Formosan Medical Association;
@@The Open Statistics and Probability Journal;
@@Statistica Sinica;
@@Statistical Methodology;
@@Statistics in Medicine;
@@Taiwan Journal of Public Health.

Honors and Grants:

@Excellent Research Award (National Science Council 1996-98).
@Excellent Teaching Award, 2001, 2004, 2006, 2008, 2011.
@Grant Research Award, since 2002.
@National Science Council, 1995-present; Department of Health; Bureau of Health

Selected Grants:

 Testing familial aggregation with posterior distribution (NSC, 1999-2001)
 Bayesian Inference of Correlation in Generalized Linear Mixed Model (NSC, 2001-2003)
 Bayesian Inference of Variance Components Models for Genetic Data Analysis (NSC, 2003-2004)
 Two-stage methods for multiple testing (NSC, 2004-2006)
 Assessment of service quality in endodontic treatment (DOC, 2007)
 Bayesian Approach to Multiple Testing Hypotheses in Haplotype-based Association Studies (NSC, 2006-2008)
 Haplotype association studies using Bayesian analysis and machine learning approach (NSC, 2008-2011)
 National survey of refraction errors for students 6-18 years lid (DOH, 2010)
 Genome-wide screening of genomic alterations and transcriptional modulation in non-smoking female lung cancer in Taiwan (DOH, 2009-2010)

Selected Education Activities:

 Taught short course on Markov Chain Monte Carlo Methods with Jack Lee at Division of Biostatistics and Bioinformatics, National Health Research Institutes, 1998.
 Taught short course on Biostatistics at Training Center, Department of Public Health and Taipei Public Service Institute, Taipei City.
 Taught short course on Bayesian Computation Taiwan International Graduate Program (TIGP), Institute of Information Science, Academia Sinica (TIGP-BP C4), 2005.
  Supervised Ph.D. Thesis:
  1. Two Methods in Association Analysis: Likelihood Ratio Test with Clustered Haplotypes and Kernel Canonical Correlation Analysis (Mei-Hsien Lee 2008), co-advise with Dr. Su-Yun Huang
  2. Support Vector Machines: Classification with Coding and Regression for Gene Selection (Pei-Chun Chen 2008), co-advise with Dr. Su-Yun Huang
  3. Bayesian Inference of Variance Components in Generalized Linear Mixed Models (Miao-Yu Tsai 2005)
  4. Multiple Hypothesis Testing in Large-scale Association Studies (Shu-Hui Wen 2004)
  5. Semiparametric Bayesian Analysis of Mixed Models for Clustered data (Yi-Lang Tong 2004)
  6. Bayesian marginal inference via optimal volume-corrected Laplace method and marginal likelihood identity (Ching-Wei Chang 2002), co-advise with Dr. Su-Yun Huang

Research Interests

@Bayesian Statistics, Biostatistics, Bioinformatics, Genetic Statistics


  Research Interests
The primary focus of this research group is to develop statistical methodology from the Bayesian perspective, particularly for problems encountered in the field of biology and medicine. Our recent projects include genetic association studies with genetic markers like single nucleotide polymorphism (SNP), haplotype and marker-set, and the development of bioinformatics tools. This group also participates in several inter-disciplinary research activities including Bayesian surveillance system for influenza, quality of endodontic treatment and association with systemic diseases, and national survey of myopia school children.

Genetic Association Study
The genetic association study has been our primary research interest. We develop new methodology for inference on gene clustering, gene-disease association, and gene-gene (GG) and gene-environment (GE) interaction. For examples, we considered a Bayesian mixture model for genome-wide association studies (GWAS). Here the proportion of associated markers was estimated first with the Bayesian model, and then such markers were selected based on Bayes factors (Wei et al. 2010). The free code (Bmix) to be used in R is now online for free download. The second example was for family-based association studies with haplotypes. To deal with the complexity in family data structure, haplotype phase determination, and the large number of parameters, we adopted an evolutionary concept to cluster haplotypes, developed a test based on clustering likelihood ratio test (Lee et al. 2011), and constructed a coding matrix to incorporate various sources of uncertainty (Huang et al. 2011). The corresponding codes LRT-C and BRUCM are online now. For GG and GE interaction, we utilized a Bayesian spatial multimarker genetic random-effects model and Markov chain Monte Carlo method to detect GG interaction and a Bayesian generalized linear mixed-effects model to detect contextual GE interaction existing between the individual level of genetic risks and the group level of area environmental factors (Wang et al. 2011).

Bioinformatics Research
With the advancement of biotechnology, the size of genetic data has increased dramatically, and thus raises many challenges for statisticians. One is the curse of dimensionality. To reduce effectively the number of parameters involved in GWAS, we considered a two-stage procedure to decrease the number of relevant markers first and then determined its influence with a Bayesian testing procedure (Wei et al. 2010). The code is free for download (Bmix). For continuous type data like expression levels, we developed a regularized least squares support vector regression model for gene selection (Chen et al. 2009), and a free software for analysis (RLS). Currently we are working on marker-set clustering and association test, and hope to provide a flexible and efficient computational tool for analysis.

Inter-disciplinary Projects
With our biostatistics expertise, this research team also plays an active role in several inter-disciplinary projects. Examples include a probabilistic surveillance of ILI syndrome with a spatio-temporal Bayesian hierarchical model, national survey of myopia among school children, association between the quality of endodontic treatment and systemic diseases, biomarker identification for female non-smoking lung cancer patients, risks of air pollutant and temperature on coronary heart diseases, schizophrenia genetic studies, and maximum number of life births per donor in artificial insemination. The collaboration research has been a pleasure experience working with experts from different disciplines.