EXPERIENCE:

Graduate Teaching Assistant, Department of Experimental Statistics, LSU            08/2005-Present

Instruct 3 graduate level statistic labs totaling of 60 graduate students per semester;   Introduce students to use statistical software, SAS, to analyze data; guided students to utilize Statistical methods and make statistical inference in real-world practices

Graduate Consulting Assistant, Department of Experimental Statistics, LSU         08/2005-Present

Assist professors and graduate students from various departments in LSU ensuring proper implementation of statistical methods in their research areas. Statistical methods applied and implemented in SAS includes: Logistic Regression, Principal Component & Factor Analysis, Cluster analysis, Spatial analysis

Graduate Research Assistant, Department of Experimental Statistics, LSU            06/2006-09/2006

Incorporate large amount of data obtained through GPS by using GIS (Geographic Information System) software, ArcGIS.   Utilize remote sensing data and geo-referencing data to develop statistical models to account for spatial correlation and variability for different sampling schemes.  Apply and analyze spatial data in site-specific management to optimize yield and profit.

Research Assistant, Electrical Engineering Department, LSU                                      01/2001-01/2004

Conducted research & experiments to develop high contrast, & resolution display system using diffractive control on PZT (Piezoelectric) materials. Processed and analyzed large amount of data using software including MATLAB, MS Excel, and Access.

Statistical Skills: Statistical Data Mining, Multivariate Statistics, Categorical Data Analysis, Sampling Techniques, Mathematical Modeling, Linear System Analysis, Experimental Design, Statistical Methods and Inferences, Statistical Theory, Statistical Methods for Reliability & Survival Data, ANOVA, MANOVA,

Computer Skills: SAS, R, S-Plus, MATLAB, HTML, SAS Enterprise Miner, ArcGIS, C Language, PSPICE, Microsoft Words, Excel, PowerPoint, Access

Languages: Fluent in English, Cantonese and Mandarin Chinese

ACHIEVEMENT & CERTIFICATIONS: SAS Base Programming Certified, Member of the American Statistical Association, Member of Phi Sigma Pi (National Honor Co-ed Fraternity), LSU Outstanding Academic Excellence Award.

EXTRACURRICULUM: Graduate Student Association representative to the LSU Student Health Insurance Advisory Committee, 2006-2007;  Vice President, International Student Association at LSU 2006-2007, LSU International Buddy Program Coordinator

PUBLICATION & OTHERS: McCarter K, Burris  E,  Milliken  G, Clawson, Ernest L., Wong Hoi Yee, Willers  J. "Using Precision Agriculture and Site-Specific Management Practices to determine a Variable-Rate Nitrogen Prescription for a Commercial Cotton Farming Operation." Nineteenth Annual Kansas State University Conference on Applied Statistics in Agriculture. May 1, 2007.

Bong Mo Park, Sang Woon Ha, Gil Sik Lee, Hoi-Yee Wong, Martin Feldman, and Sang Kyeong Yun, "Piezoelectric Projective Displays, " J. Vac. Sci. Technol. B22, p. 3151, Nov./Dec. 2004.

References are available upon request

Graduation project:  

·         Using experimental design and spatial statistics to evaluate the effectiveness of Site-Specific management, determine appropriate treatment to optimize yields and profit. Data cleansing and summarization of large data set using base SAS and SQL. Implement statistical models using SAS PROC MIXED.

Statistical Data Mining projects:  

·         Implement Decision Tree using CHAID algorithms and neural network for mortgage approval data

·         Analyze large data set by implementing Decision Tree, Neural Network and Regression for decision making. Assess models by their misclassification rates, profits and lift charts

·         Using Logistic regression to predict charity donation made based on given demographic information. Model is compared to neural network and decision tree for assessment.

Multivariate analysis projects:

·         Implementation of principal components and factor analyses on health care survey data

·         Using Canonical correlation to investigate health care satisfaction in relation to respondents’ demographic information

·         Determine genetic relationships of coffee using cluster analysis & agglomerative Algorithms