Hui Xu

**** **** **.

Lauderdale, MN *****

(***) 267- 3718

acdq6n@r.postjobfree.com

QUALIFICATIONS

Solid statistical knowledge in theory and application

Hands on experience in data analysis, statistical modeling and data mining

Good knowledge of statistical software packages including Minitab, R and SAS

Knowledge of Linux/Unix, Windows, LaTeX and MS Office

Strong writing and communicating skills

Experience in supervising and leading team work

Ability of managing multiple projects simultaneously

Responsible, reliable and detail focused personality

EDUCATION

Ph.D., Statistics, Purdue University, West Lafayette, IN 2007

M.S., Statistics, University of Georgia, Athens, GA 2002

M.S., Probability and Statistics, Chinese Academy of Sciences, Beijing, China 2000

B.S., Math Education, Shandong Normal University, Jinan, China 1996

WORKING EXPERIENCE

St. Cloud State University, Associate Professor (2012-present); Assistant Professor (2007-2012)

RELEVANT EXPERIENCE

Analyzing Hospital Data (2008-2009)

Worked with a colleague to analyze the heart attack patient data collected at St. Cloud Hospital. Helped the

researchers evaluate the effectiveness of a patient delivery protocol. Results were published as a journal paper.

Analyzing Stearns County Jail Data (2010-2013):

Long term collaboration with Stearns County Jail for optimizing the jail resource usage. Other local partners

include St. Cloud Police Department, Stearns County Attorney’s Office, Stearns County Community Corrections

and Stearns County Court Administration. Co-organized weekly student meetings with a colleague; Co-supervised

students to do data cleaning, modeling and validation for different projects such as predicting jail population and

time staying in jail, building judicial system funnel and predicting the client successfulness of a community

correction program. The results were presented by students at Criminal Justice Coordinating Committee meetings.

Supervising Graduate Students (2011-2013)

Supervised six graduate students and five of them have graduated or passed their oral defense. Their thesis topics

include: Credit scoring - variable selection and model building; Time series analysis on emergency department

patient flow and nurse allocation; Permutation inference on the optimal matching distances of categorical sequence

data; Analyzing the cooperating teacher survey data; Comparing interval estimations for the proportion of

conformance in quality control; High dimensional model selection with application to the college student retention.

Teaching (2007-2013)

Taught undergraduate and graduate statistics courses: Introductory Statistics, Regression and ANOVA, Multivariate

Statistical Analysis, Nonparametric Statistics, Time Series, Basic Elements of Probability Theory, Statistical Theory,

Bayesian Analysis, Generalized Linear Models and Survival Analysis.

SELECTED PUBLICATIONS

A Regional System for Delivery of Primary Percutaneous Coronary Intervention in ST -Elevation Myocardial

Infarction STEMI-St. Cloud (with R. Aplin et al.). Journal of Invasive Cardiology, Vol. 21, No. 12, 2009.

Modeling Trust in Wireless Ad-Hoc Networks (with T. Ghosh). Novel Algorithms and Techniques in

Telecommunications and Networking, Editors: T. Sobh, et al., Springer, pp. 217-221, 2010.

On the isotonic change-point problem (with G. Shen). Journal of Nonparametrics, Vol. 25 (4), 2013.

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