Education

2014 – 2019 (expected)	PhD in Statistics, Purdue University, West Lafayette, IN
	Advisor: Dr. Guang Cheng
2007 – 2009	MS in Statistics, National Central University, Jhongli City, Taoyuan County, Taiwan
	Advisor: Dr. Ying-Chao Hung
2003 – 2007	BS in Applied Mathematics, National Dong Hwa University, Shoufeng, Hualien, Taiwan

Research Interests

• Statistical Methodology for Massive Data and Meta-Analysis
• High-Dimensional Model Selection and Inference
• Data Mining and Machine Learning
• Time Series Analysis, Granger Causality and Cointegration Analysis
• Healthcare Engineering

Consulting Experience

Fall 2018 – Present	General Statistical Consultant @ School of Nursing
Fall 2014 – Summer 2017	General Statistical Consultant @ School of Nursing
Fall 2013 – Spring 2015	Consultant @ Statistical Consulting Service

Research Experience

June – August 2014	Summer Internship @ Pfizer
May 2013 – May 2014	Research Assistant @ Regenstrief Center for Healthcare Engineering
May 2011 – July 2012	Research Assistant @ Institute of Statistical Science, Academia Sinica
August 2010 – April 2011	Research Assistant @ Taiwan Suicide Prevention Center

Teaching Experience

Year	Semester	Role	Course number and title (section number)
2018	Spring	TA	STAT 113 Statistics and Society (032, 062, 204, 900)
2017	Fall	TA	STAT 113 Statistics and Society (019, 020, 028, 040)
2014	Spring	TA	STAT 301 Elementary Statistical Methods (092, 108, 113)
2013	Fall	TA	STAT 301 Elementary Statistical Methods (122, 611, 838)
2013	Summer	Instructor	STAT 301 Elementary Statistical Methods (022)

Publications

• Richards, E., Ogata, N., Cheng, C.W. (2017), Randomized Controlled Theory-Based, E-Mail-Mediated Walking Intervention: Differences Between Dog Owners and Non-Dog Owners. Clinical Nursing Research, 26(1), 47-67.
• Tsai, H., Tsay, R.S., Lin, E.M.H., and Cheng, C.W. (2016), Doubly Constrained Factor Models with Applications. Statistica Sinica, 26(4), 1453-1478.
• Richards, E., Ogata, N., Cheng, C.W. (2016), Evaluation of the Dogs, Physical Activity, and Walking (Dogs PAW) Intervention: A Randomized Controlled Trial. Nursing Research, 65(3), 191-201.
• Cheng, C.W., Hung, Y.C., and Balakrishnan, N. (2014), Generating Beta Random Numbers and Dirichlet Random Vectors in R: The Package rBeta2009. Computational Statistics and Data Analysis, 71, 1011-1020.
• Hung, Y.C., Balakrishnan, N., and Cheng, C.W. (2011), Evaluation of Algorithms for Generating Dirichlet Random Vectors. Journal of Statistical Computation and Simulation, 81(4), 445-459.

Presentations

Contributed Talks

• Two-Layer Heterogeneity Model for Massive Data.
  @ Contributed Section on Statistical Learning and Data Science, JSM; August 2017.

Posters

• Comparison of Baseline Recall Periods and Classification Approaches in Characterizing Risk of Suicidal Ideation and Behavior in Clinical Trials.
  @ Pfizer Inc. 2014 Summer Student Worker Program Poster Session; August 2014.
• On Effective Prediction of Preventable Hospital Readmission.
  @ 37th MBSW, Ball State University, May 2014.

Software Packages

• rBeta2009, an R package for generating beta random numbers and Dirichlet random vectors. Available on CRAN
• NCUThesis, a L^aT_eX thesis/dissertation template for graduate students at National Central University.