Yue Shan is a graduate student studying biostatistics at UNC Chapel Hill. She has a MS in Biostatistics from UNC and a BS in Statistics from Sun Yat-Sen University in China. She has experience performing SAS simulations for clinical trials research and teaching categorical data analysis. Her coursework includes probability, statistical inference, linear models, survival analysis, and clinical trials design. She is proficient in SAS, R, MATLAB, Python, Java and C.

1. Yue Shan
919-537-1863
yshan@live.unc.edu
113 A Howell Street, Chapel Hill, NC 27514
Education:
University of North Carolina at Chapel Hill
MS in Biostatistics; Aug, 2014 – May, 2016
BSPH in Biostatistics, Mathematics; Aug, 2011 – May, 2014
Sun Yat-Sen University (SYSU), Guangzhou, China
Majored in Statistics in BS Program; Sep, 2009 – Jul, 2011
Programming Languages: SAS, R, MATLAB, Python, Java, C
Experiences:
Graduate Research Assistant; 8/2014– present; Biometric Consulting Lab, UNC Chapel Hill
 Perform SAS simulation to assess power of multi-endpoint comparison clinical trials in
pharmaceutical research
 Graded homework in the course Analysis of Categorical Data
Undergraduate Research in Applied Math; 2/2013– 5/2014; UNC Chapel Hill
 Worked on mucus rheology in respiratory system
 Used MATLAB and SAS in data organization and analysis
Research Experience for Undergraduate Students in Mathematical Biology; 5/2013 – 8/2013;
Mathematical Biosciences Institute at Ohio State University, Arizona State University
 Took courses on an overview of different fields in mathematical biology
 Simulated multi-level infectious disease dynamics & pathogen evolution
 Used MATLAB for simulation programming

2. Related Coursework:
Biostatistics:
BIOS 511: Introduction to Statistical Computing and Research Data Management using SAS
BIOS 545: Principles of Experimental Analysis
BIOS 660 & 661: Probability and Statistical Inference I & II
BIOS 662: Intermediate Statistical Methods
BIOS 663: Intermediate Linear Models
BIOS 664: Introduction to Sample Survey Methods
BIOS 665: Analysis of Categorical Data
BIOS 667: Applied Longitudinal Data Analysis
BIOS 668: Design of Public Health Studies
BIOS 680: Introductory Survival Analysis*
BIOS 752: Design and Analysis of Clinical Trials
BIOS 776: Causal Inference in Biomedical Research*
BIOS 841: Principles of Statistical Consulting*
STOR 555: Mathematical Statistics
SYSU: Data Analysis & SAS
SYSU: Statistical Reasoning Using R
SYSU: Statistical Methods
SYSU: Introduction to Bayesian Statistics
* : Courses to take in Spring 2015
Computer Science:
COMP 110: Intro to Programming (in Java)
COMP 401: Foundation of Programming (in Java)
COMP 410: Data Structures (in Java)
SYSU: The C Programming Language
Math:

3. MATH 521 & 522: Advanced Calculus I & II
MATH 566: Introduction to Mathematical Analysis (in Python and MATLAB)
MATH 381: Discrete Mathematics
MATH 577: Linear Algebra and Geometry
MATH 383: First Course in Differential Equations
SYSU: Statistics for Finance and Insurance
Other Related Courses:
EPID 600: Principles of Epidemiology
BIOL 202: Molecular Biology & Genetics
HBEH 600: Social & Behavioral Sciences in Public Health
ENVR 600: Intro to Environmental Health
HPM 600: Intro to Health Policy & Management
BIOS 691: Field Observation in Biostatistics