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Celie Xing
309,
13th Avenue Southeast, Apartment 001 Phone: 612-940-9876
Minneapolis,
Minnesota 55414 E-mail: celie@umn.edu
Objective
Seeking
a full-time position where I can demonstrate my quantitative skills and
contribute to the company.
Education
University
of Minnesota – Twin Cities, Minneapolis, MN September 2007 – May 2012
(Expected)
Ph.D.
in Statistics GPA: 3.91/4.0; Major GPA: 4.0/4.0
· Key Courses: Theory of Statistics, Mathematical Statistics,
Applied Multivariate Methods and Advanced Regression,
Advanced
Statistical Computing, Time Series Analysis, Survival Analysis, Real Analysis,
Theory of Probability,
Stochastic
Processes, Machine Learning, Image Processing, Algorithms and Data Structures,
Operating Systems
University
of Minnesota – Twin Cities, Minneapolis, MN September 2005 – April 2008
Master
of Science in Computational Chemistry GPA: 3.91/4.0
Nanjing
University, Nanjing, China September 2001 – June 2005
Bachelor
of Science in Computational Chemistry GPA: 90.2/100
Research Experience
University
of Minnesota – Twin Cities, Department of Statistics December 2005 – Present
Graduate
Research Assistant
· Develop an algorithm of Nonparametric Image Registration using
Local Linear Kernel Smoothing: Estimate the
location
transformation between two images based on the observed image intensities,
without imposing any parametric
assumption.
The algorithm includes edge detection, point classification and transformation
optimization, implemented
in
C++ and asymptotic convergence proved
· Study Object Recognition and Image Classification based on
feature extraction, thin plate spline interpolation,
automatic
parameter selection, boosting classification and statistical incremental
learning technique, implemented in
C++
with multi-thread programming in POSIX model
· Estimate the parameters in a “displaced gamma” distribution
for modeling mutational effects for Arabidopsis thaliana,
using
Markov chain Monte Carlo maximum likelihood with the Metropolis-Hastings-Green
simulation algorithm,
implemented
in C++ and R
· Build a time series model for the exchange rate between US
Dollar and Korean Won based on an improved ARIMA
algorithm
and spectral analysis methods. The model has been used to predict the exchange
rate, implemented in R
Industry Experience
PhD
Intern June 2011 – August 2011
PayPal,
an eBay company, Phoenix, AZ
Checkout
Team, Site Speed Project
· Improved web response time at the back end of servers by
analyzing huge log files: parsed log files, created database,
used
statistical testing and performed time series analysis, implemented in python,
C++ and MySQL
· Analyzed customer business at the front end of servers by data
mining techniques on large checkout data: parsed files,
created
database and performed multivariate analysis with variable selection,
implemented in python, C++ and MySQL
Computer Skills
· Computer languages: C++, C, Python, Fortran90 and Shell Script
· Software: MySQL, SAS, R, S-plus, Matlab, Mathematica, MSOffice
and LATEX
· Operating systems: LINUX/UNIX and Windows
Publications
· “Intensity Based Nonparametric Image Registration,” Proceedings of the 2010 ACM SIGMM
International conference
on Multimedia Information Retrieval, pp. 221--225, Philadelphia, PA. Peihua Qiu, and Chen Xing
(2010)
· “Intensity Based Image Registration By Nonparametric Local
Smoothing,” Chen Xing and Peihua Qiu, IEEE
Transactions
on Pattern Analysis and Machine Intelligence, 33, 2011, 2081--2092
· “A Statistical Method And Theory For Nonparametric Image
Registration,” Peihua Qiu and Chen Xing (October 2011)
(submitted to
Journal of the American Statistical Association)
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