Assistant Graduate

Location:

Posted:

September 23, 2014

YIN FU

Work Address Contact Information

Department of Statistics Phone: 803-***-****

University of South Carolina-Columbia email: ***********@*****.***

PROFESSIONAL EXPERIENCE

• Instructor of elementary Statistics, Department of Statistics (USC) 8/2010-5/2014

Full lecture and grading responsibility for STAT 201 with 48 students per section. STAT

201 is an introductory course in the fundamentals of modern statistical methods. Topics

include descriptive statistics, probability, random sampling, tests of hypotheses, esti-

mation, simple linear regression, and correlation. Outstanding Graduate Assistant

Award, 2012.

• Lab Instructor, Department of Statistics (USC) 8/2009-5/2010, 05/2012

Full responsibility for teaching statistical computer lab with 48 students. Grading quizzes

and lab reports.

• Teaching Assistant, Department of Statistics (USC) 8/2009-5/2010

Full responsibility for grading undergraduate core courses and developing solutions keys

to the homework assignments. Outstanding Graduate Assistant Award, 2010.

• Website Development Programmer, Dalian Haike IT Co.Ltd., China 8/2008-5/2009

Programming for development of websites using VB.NET, ORACLE, SQL, HTML lan-

guages. Mastering new software fast, extremely self motivated at work and a good team

player.

ACADEMIC EXPERIENCE

• Multidimensionality Assessment for the Variable Compensation Model, NCME

Graduate Student Poster Presentation, Philadelphia, PA, US. 4/2014

• Making fair comparisons between Compensatory Model and Noncompensatory

Model, NCME Graduate Student Poster Presentation, San Francisco, CA, US. 4/2013

• Mokken Scaling for Items with Varying Numbers of Response Categories, NCME

Graduate Student Poster Presentation, Vancouver, British Columbia, Canada. 4/2012

COMPUTER SKILLS

• Advanced programming in SAS/SQL. SAS Certiﬁed Base and Advanced Programmer.

• Proﬃcient in R programming and R/C++ integration in research exploration.

• Competitive skills in Minitab, Statcrunch, Latex, Microsoft Oﬃce, VB.net and HTML.

• Limited experience of MATLAB and C.

EDUCATION

• Ph.D. candidate in Statistics, University of South Carolina-Columbia Expected 12/2014

Skills acquired: Item Response Theory, Multidimensional Item Response Theory,

Mokken Scaling, Generalized Linear Modeling, Time Series Forecasting, Cluster Analy-

sis, Survival Analysis, Bayes Method (MCMC), Monte Carlo Methods, Stochastic Pro-

cess, etc.

• B.S. Communication Engineering, Dalian Maritime University, China Completed 7/2008