Data Years Experience

Shihai Lu

*** *** ****** ~ Bowling Green, Ohio **402

Phone: 419-***-**** ~ Email: ************@*****.*** Date of

availability: Immediate

Summary of Qualifications

* ***** ********** ** **atistical modeling and data analysis in a variety of statistical consulting and

applications, mainly including FDA-funded projects, interdisciplinary collaboration with Chemists, business

forecasting in an insurance company, and many other applied projects with real data

Expertise in a variety of statistical methods: multiple testing, generalized linear and mixed model, Hidden

Markov models, Bayesian modeling and diagnostics, resampling, MCMC, EM algorithms, multilevel models,

model selection, nonparametric methods, experimental design, high dimensional inference, survival analysis,

time series, tree-based methods, boosting, etc.

Significant programming experience with R, SAS, C, MATLAB, Python, and parallel computing

Excellent collaborative and communication skills in both written and conversational English

Education

Ph.D., Statistics, Bowling Green State University (BGSU), OH - GPA: 3.95/4 May 2014

Dissertation Title: Novel Step-down Procedures for Multiple Testing under Dependence

M.A., Mathematics, Zhejiang University (ZJU), Hangzhou, China - GPA: 3.7/4 July 2007

B.S., Information and Computing Science, Northwestern Polytechnical University (NPU), Xi’an, China

July2005

Industrial Experience

Integrated Operation Center, Ping An Insurance Company of China, Ltd, China

Operations Analyst Sep 2007 - May 2009

Developed seasonal ARIMA-based models to forecast the amount of operations in calling center aiming at the

human resource optimization to decrease expenditure

Collaborated cross departments and analyzed management and organization practices to look for deficiencies,

failures and inefficiencies, then determined solutions, made recommendations and assisted in the

implementation of new business practices

Research Experience

Mathematics and Statistics Dept., BGSU 2011 - Present

Developed new step-down procedures for multiple hypotheses testing strongly controlling the generalized

familywise error rate (FWER) under any kind of dependence between test statistics

Chemistry Dept., BGSU 2012 - Present

Developed Hidden Markov Model-based methods to analyze single-molecule experimental data and probe the

single-molecule conformational dynamics

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Applied Projects

FDA Diet Survey Data Analysis 2012-2013

Proposed a multilevel logistic model, and then used linear contrasts and Jonckheere-Terpstra Test in

simultaneous inference to create a powerful procedure testing possible trends of food label usage.

Single-Molecule Fluorescence Spectroscopy Analysis: 2011-2013

Bayesian analysis of single-molecule dynamics based on continuous-time Hidden Markov Models using single-

molecule Förster resonance energy transfer (FRET) experimental data

2D regional Bayesian analysis of single-molecule FRET spectroscopy using adaptive Metropolis-Hastings

methods in order to detect environmental noise

Application of statistical informational criteria for the inference of single-molecule folding-unfolding

dynamics based on Hidden Markov Models and EM algorithm

Ordinal Data Modeling and Diagnostics from Bayesian Point of View: 2011

Cumulative and sequential probit ordinal modeling with application to heart surgery survival data

Bayesian model assessment using Bayesian latent residuals and posterior predictive distribution

Experimental Design 2011

Maximized the yield of a chemical process utilizing several additives, and recommended types and amount of

additives with fractional factorial designs and response surface methods

Teaching Experience

Instructor 2006 – 2007 & 2010 – Present

Mathematics and Statistics Dept., BGSU / Mathematics Dept., ZJU

Courses Taught: Business Calculus/Intro to Statistics/College Algebra/Mathematical Analysis (3 or 5 credits)

Created lectures and instructed a class of 20 to 35 undergraduate students on a semester-by-semester basis

Tutored students individually or in small groups to help them master assignments and to reinforce learning

concepts

Assessed students’ learning through exams, quizzes, and homework

Computer Skills and Experience

Programming Languages: Proficient - R, SAS (BASE, STAT, MACRO, SQL), C; Familiar - Python,

MATLAB

Operation Systems: Windows, Linux, Mac OS X

Office Applications: Microsoft PowerPoint, Excel, Word

Other Experience: Parallel Computing with R/C interface on the cluster at the Ohio Supercomputer Center

Certification: SAS Certified Advanced Programmer for SAS 9

Awards

Teaching Assistantship, Bowling Green State University 2009 - Present

Research Assistantship (Funded by NIH grants), Bowling Green State University 2011, 2012, 2013

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Excellent Master’s Thesis Award, Zhejiang University 2007

Excellent Bachelor’s Thesis Award, Northwestern Polytechnical University 2005

Conference Papers

Lu, S., Chen, J., Wang, S., and Zhang, Y. (2013). Using Multi-Level Model with Partitioning for A Group of

Questions or Qualitative Responses. Paper Presented at the Marketing & Public Policy Conference,

Washington D.C.

Working Papers

New step-down multiple testing procedures under any kind of dependence (manuscript)

Statistical informational criteria for determination of the dynamic multiple-state model in analyzing single-

molecule folding-unfolding dynamics (manuscript)

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