This document is Qing Li's resume. It summarizes her education, skills, research experience, teaching experience, honors, publications, and presentations. She has a Ph.D. in Statistics from Virginia Tech and is seeking a statistical data analyst position. Her research focuses on survival analysis, Bayesian models, and generalized linear models. She has 3 years of experience collaborating on statistical projects and 2 years teaching undergraduate statistics courses.

1. Qing Li 1
QING LI
868 Patrick Henry Dr.,
Blacksburg, VA 24060
Email: qlijane@vt.edu
Phone: 1-540-577-6942
Objective Seeking a statistical data analyst full-time position or internship.
Summary Three years of intensive collaboration experience in Laboratory Interdisciplinary
Statistical Analysis (LISA).
Two years of teaching undergraduate courses.
Three years of intensive research in statistics.
Three years of travel safety data analysis.
Solid background in both statistics and electrical engineering.
One year of research in signal processing.
Proficient in programming and experienced in using various software packages in
both statistics and electrical engineering.
Excellent research, time management, problem solving skills and negotiating skills.
Good communication, team-work spirit, and work ethic.
Education Virginia Tech, Blacksburg, VA
Ph.D., Statistics, 2015 (expected)
Dissertation: Change-Point Detection in Recurrent-Event Context
Advisor: Dr. Feng Guo.
M.S., Statistics, 2012, GPA 3.9.
University of Rochester, Rochester, NY
M.S., Electrical and Computer Engineering, 2010
Thesis: Music Timing Analysis
Advisor: Dr. Mark Bocko, GPA 4.0.
Tsinghua University, Beijing, China
B.E., Information Electronics and Engineering, 2008
Thesis: Image Forensics Based on Chromatic Aberration.
Selective
Course Work
 Data analytics, Reliability theory, Longitudinal data analysis, Advanced
topics in Bayesian statistics, Advanced topics in regression, Advanced
inference, Measure and probability, Spatial statistics, Linear models theory,
Experimental design and analysis, Communication in statistical
collaborations, Epidemiology.
 Random process, Digital signal processing, Image processing, Signals and
systems, Circuit analysis, Signals and systems, C++ programming.

2. Qing Li 2
Skills Statistical packages: R, SAS, JMP, Minitab, SPSS, WinBugs, ArcGIS.
Electrical packages: Matlab, C/C++, OpenCV, SQL, Multisim, Verilog HDL,
Assembly Language, Quantus II, EWB, OrCAD/PSpice, AutoCAD.
Applications: LaTex, Microsoft Office, Adobe Illustrator, EndNote.
Language: Chinese, English.
Research
Interests
Survival analysis, Bayesian models, Generalized linear models.
Teaching
interests
Undergraduate or graduate statistics courses.
Research
Experience
Virginia Tech, Department of Statistics
Ph.D. research
Sep 2013-Dec 2015
 Presented two recurrent-event change-point models to detect the time when
crash and near-crash risks decreased significantly for novice teenage drivers
by frequentist approach.
 Detected change-points in driving risk allowing for varying change-points
among subjects by hierarchical Bayesian finite mixture model.
 Clustered drivers by a non-parametric Bayesian approach under Dirichlet
process mixture models.
Research assistant
 U.S. Department of Transportation project: Examined and fit models on
roadway lightning's effects on driving safety, wrote reports, 2013
 Cleaned and analyzed vehicle crashing data for Virginia Tech Transportation
Institute (VTTI) utilizing SAS, Spring 2010
University of Rochester, Department of Electrical Engineering
Research assistant
Built a harmonic structure model based on Short-Time Fourier Transform (STFT) to
approximate the original acoustic wave, formed acoustic feature data structure based
on those model parameters for music transcription and dereverberation, Spring 2009
Tsinghua University, Department of Electronics Engineering
 Detected the dynamic objects in video sequence by image subtraction,
filtering, binary conversion and other image processing methods, generated a
new video sequence with the dynamic object enclosed, using C/C++, Fall
2007
 Designed a 32-bit RISC Microprocessor with Harvard Structure using
Quantus II, Fall 2006

3. Qing Li 3
Collaboration
Experience
Virginia Tech, Department of Statistics
 Lead collaborator of Laboratory Interdisciplinary Statistical Analysis
(LISA), 2012-2014: Lead 34 collaboration projects to assist researchers from
diverse research fields, helped researchers clarify their research goals,
proposed appropriate statistical methods and performed statistical analysis.
Conducted walk-in consulting and taught short courses on statistics.
Achieved coauthorship out of one project.
 Associate collaborator of LISA, 2011, 2012, 2014: Collaborated in team
with the lead collaborators on 14 projects.
Teaching/
Working
Experience
Virginia Tech, Department of Statistics
Teaching assistant
 Design of Experiments (STAT 5204G), Virginia Tech, Spring 2014:
Prepared homework solution for “Design and Analysis of Experiments” by
D. C. Montgomery.
 Bayesian Statistics (STAT 5444) and Data Analytics (STAT 5525), Fall
2013
 Instructor of Statistics for Engineering Applications (STAT 3704), 2011,
2012, and 2014-2015: Taught up to 130 undergraduate students from diverse
backgrounds independently, stimulated the students to apply appropriate
statistical methods in their fields. Obtained high evaluation by students.
 Recitation leader of Introductory Statistics (STAT 2004), Spring 2011
 Grader of six statistics courses, Fall 2010 - Summer 2013.
University of Rochester
 Teaching assistant of Computers & Programming (ECE 114), Spring 2010:
Taught recitation, helped the students debug computer programs.
 Graduate Mathematics tutor, 2008 - 2010
 Office assistant at Physics-Optics-Astronomy (POA) Library, 2009 - 2010
Honors/
Affiliations
American Statistical Association (ASA), 2014 - present
Mu Sigma Rho: The National Statistics Honorary Society, 2012 - present
Chamber Singers, University of Rochester, 2008 - 2010
Secretary, Graduate Organizing Group, University of Rochester, 2008 - 2009
Ranked 1st
, Debate Contest, Tsinghua University, 2005
Second Freshmen Scholarship, Tsinghua University, 2004
Ranked 5th
out of 300,000 students, National College Entrance Examination, Gansu,
China, 2004

4. Qing Li 4
Publications 1. Li, Q., Guo, F., Inyoung, K., Klauer, S. and Simons-Morton, B., Change-
points detection in driving risk allowing for varying change-points among
subjects by Bayesian non-parametric models (in preparation).
2. Li, Q., Guo, F., Inyoung, K., Klauer, S. and Simons-Morton, B., Change-
points detection in driving risk allowing for varying change-points among
subjects by Bayesian parametric models (in preparation).
3. Li, Q., Guo, F., Klauer, S. and Simons-Morton, B. (2015). Detecting the
change-point of driving risk for novice teenage drivers, Journal of the Royal
Statistical Society: Series C (submitted).
4. Gibbons, R., Guo, F., Du, J.H., Medina, A., Terry, T., Lutkevich, P., Li, Q.
(2015). Approaches to adaptive lighting on roadways, Transportation
Research Record: Journal of the Transportation Research Board (in press).
5. Gibbons, R., Guo, F., Du, J.H., Medina, A., Terry, T., Lutkevich, P., Li, Q.
(2015). Linking roadway lighting and crash safety, Proceedings of the
Transportation Research Board 94th Annual Meeting.
6. Gibbons, R., Guo, F., Medina, A., Terry, T., Du, J.H., Lutkevich, P., and Li,
Q. (2014). Design criteria for adaptive roadway lighting, Report no. FHWA-
HRT-14-051, Federal Highway Administration.
7. Prussin, A.J., Li, Q., Malla, R., Ross, S.D., and Schmale, D.G. (2014).
Monitoring the long distance transport of fusarium graminearum from field-
scale sources of inoculum, Plant Disease.
8. Guo, F., Li, Q., and Rakha, H. (2012). Multi-state travel time reliability
models with skewed component distributions, Transportation Research
Record: Journal of the Transportation Research Board.
Presentations  Detecting the Change-Point of Driving Risk for Novice Teenage Drivers in
Recurrent-Event Context, Joint Statistical Meetings (JSM), Boston, 2014
 Change-Points Detection in Driving Risk Allowing for Varying Change-
Points Among Subjects by Bayesian Parametric Models (JSM), Seattle, 2015