looking for a research statistician position

XINMEI HAO

**** ******* ***, ***. *

East Lansing, MI 48823

Cell phone: 517-***-****

Email: ****@***.***

SKILLS

1. Familiar with the longitudinal data analysis and have experiences in applying MIXED, GLM, GLMM and GEE models for clinical longitudinal data.

2. Familiar with the survival data analysis, including non-parametric survival comparisons, COX regression model and AFT model.

3. Experienced in linear and non-linear regressions.

4. Familiar with multivariate analysis including Factor Analysis, Principal Components, Cluster analysis, and Discriminant analysis.

5. Ability to design various biological experiments to test statistical hypotheses and reduce experimental errors, and determine precision requirements.

6. Proficiency in SAS programming, and familiar with R and SPSS packages.

7. Proficiency in FORTRAN programming, and familiar with C++ programming.

8. Solid oral and writing abilities.

EDUCATION

• M.S.: Statistics, Michigan State University, 2008

• Ph.D: Soil Science, University of Wyoming, 2004

• M.Eng.: Water Resources, Northwest Agriculture University, China (1999)

• B.S.: Environmental Engineering, Dalian University of Technology, China (1996)

RELEVANT EXPERIENCE

Statistical Consultant (2/2008 – 5/2008): Volunteered at Statistical Consulting Center of the Michigan State University, East Lansing, MI.

• Helped a client on investigating the efficacy of Insulin Infusion Pumps versus Basal/Bolus Insulin Injections for Type 1Diabetes using a GEE model.

Research Associate (9/2004- present): Department of Crop and Soil Sciences, Michigan State University, East Lansing, MI.

• Developed a calibration model for predicting ethanol yield based on high dimensional NIR data, by comparing performance of PCR, PLS and discriminant analysis methods.

• Developed a linear model for describing the relationship between soil carbon and terrain attributes including elevation, slope, curvature, etc.

• Proposed a non-linear model for describing the relationship between soil texture and carbon content.

RELEVANT COURSEWORK

Advanced Methods in Epidemiology and Applied Statistics

Analysis of Survival Data Multivariate Analysis

Advanced Statistics for Biologists Geostatistics

Sample Surveys Applied Statistics

SAS Programming

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