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James D. Wilson
Phone: (919) 753-5061
Email: jameswd@email.unc.edu
Website: http://jameswd.web.unc.edu
107 West Main St., Apt E
Carrboro, NC 27510
EDUCATION
University of North Carolina at Chapel Hill, Chapel Hill, NC.
- Ph.D. Statistics and Operations Research
- Dissertation: On Statistical Analysis of Complex Networks
- Advisors: Andrew B. Nobel and Shankar Bhamidi
2010 - Present
Clemson University, Clemson, SC.
2008 - 2010
- M.S. Mathematical Sciences, Statistics (with Honors)
- Thesis: Modeling of Disease Outbreak Using a Hidden Markov Binary Field
- Advisor: Fransisco X. Vera
Campbell University, Buies Creek, NC.
- B.S. Mathematics, Chemistry (Magna Cum Laude, Faculty Award)
2005 - 2008
RESEARCH INTERESTS
• statistical analysis and modeling of complex networks
• data mining and machine learning
• community extraction
• change point analysis of networks
• generalized exponential random graph models
PUBLICATIONS
PUBLISHED
Wilson, James D. , Wang, Simi, Mucha, Peter J., Bhamidi, Shankar, and Nobel, Andrew B.
“A Testing Based Extraction Algorithm for Identifying Signifcant Communities in Networks.”
(2014) Annals of Applied Statistics, Vol. 8, No. 3, 1853-1891.
Wilson, James D., Bhamidi, Shankar, and Nobel, Andrew B. “Measuring the Statistical
Significance of Local Connections in Directed Networks.” Neural Information Processing Systems
Workshop on Frontiers of Network Analysis: Methods, Models and Applications, 2013.
UNDER REVIEW
Parker, Kaveri S., Wilson, James D., Marschall, Jonas, Mucha, Peter J., and Henderson, Jeffrey P. “Network analysis reveals sex- and antibiotic resistance-associated antivirulence targets
in clinical uropathogens.” (Under revision)
Szekely, Eszter, Shaw, Phillip, and Wilson, James D. “The ins and outs of friendships: Linking
early externalizing and internalizing trajectories with later peer network positions.” (Under
revision)
Wilson, James D., Desmarais, Bruce, Cranmer, Skyler, Denny, Matthew and Bhamidi,
Shankar “Stochastic Weighted Graphs: Flexible Model Specification and Simulation.” (2015)(arXiv
preprint: http://arxiv.org/abs/1505.04015)
IN PREPARATION
Wilson, James D., Bhamidi, Shankar, and Nobel, Andrew B. “Community Extraction in
Heterogeneous Multilayer Networks.”
Bhamidi, Shankar, Dey, Partha S., Nobel, Andrew B., and Wilson, James D. “Global Optima
Landscape for Large Average Submatrices in Gaussian Random Matrices.”
Bhamidi, Shankar, Nobel, Andrew B., Palowich, John, and Wilson, James D. “On Optimality
Properties of the ESSC Procedure.”
TEACHING EXPERIENCE
INSTRUCTOR: Full responsibility of curriculum, lectures, homework and exams
STOR 155: Introduction to Statistics (45,58 students)
UNC Chapel Hill
Award: Excellence in Teaching Award (Fall, 2014)
MTHSC 102: Mathematical Analysis (38 students)
Clemson University
Fall 2012, Fall 2013
Fall 2009
TEACHING ASSISTANT: Grading, lead weekly tutorials, held office hours
STOR 565: Introduction to Machine Learning; UNC Chapel Hill
Spring 2014
- Collaborated with instructor to design the course
STOR 155: Introduction to Statistics; UNC Chapel Hill
Fall 2010, Spring 2011
MTHSC 102: Mathematical Analysis; Clemson University
Fall 2008, Spring 2010
MTHSC 106: Calculus of One Variable; Clemson University
Spring 2009
MATH 122: Calculus I; Campbell University
Fall 2006-7, Spring 2008
INVITED SEMINAR TALKS
”Significance based Extraction Techniques for Community Detection in Large and Multilayer
Networks”
• California State University at Monterey Bay, Department of Mathematics and Statistics
(1/2015)
• University of Illinois, Urbana Champaign, Department of Statistics (1/2015)
• University of San Francisco, Department of Mathematics / Master of Analytics Program
(1/2015)
• University of Virginia, Department of Statistics (2/2015)
• Virginia Tech University, Department of Statistics / Computational Modeling and Data
Analytics Program (2/2015)
• Georgia Southern University, Department of Mathematical Sciences (4/2015)
CONTRIBUTED PRESENTATIONS
“Extraction of Statistically Significant Communities in Multilayer Networks.” INFORMS 2014
Annual Meeting. San Francisco, CA, November 2014
“A Testing based Community Extraction Method for Identifying Significant communities in
Social Networks.” Duke Network Analysis Center (DNAC). Durham, NC, September 2014
“Community Extraction in Multilayer Networks.” International Chinese Statistical Association
Applied Statistics Symposium. Portland, OR, June 2014
“Networks and Community Detection.” Statistics and Operations Research Student Colloquium,
University of North Carolina at Chapel Hill. Chapel Hill, NC, March 2014
“Measuring the Statistical Significance of Local Connections in Directed Networks.” (Poster)
Neural and Information Processing Systems (NIPS). Reno, NV, December 2013
“The Statistical Significance of Local Structures in Undirected and Directed Networks.” (Poster)
Statistics and Applied Mathematics Institute (SAMSI) Social Network Data Workshop. Durham,
NC, October 2013
“Extraction of Statistically Significant Communities in Undirected Networks.” Joint Statistical
Meetings (JSM). Montreal, CA, August 2013
“Graphs and Transductive Learning.” (Poster) Duke University. Durham, NC, December 2011
“Modeling of Disease Outbreak Using a Hidden Markov Binary Field.” (Poster) National Science
Foundation and Defense Threat Reduction Agency Conference. Chapel Hill, NC July 2010
PROFESSIONAL ACTIVITIES
Student Colloquium Co-organizer
Department of Statistics and Operations Research; UNC Chapel Hill
2012 - Present
Department Senator
Department of Statistics and Operations Research; UNC Chapel Hill
Graduate and Professional Student Federation
2011 - 2014
Graduate Student Representative
Department of Statistics and Operations Research; UNC Chapel Hill
2011 - 2014
Treasurer
Society of Industrial and Applied Mathematics (SIAM); Clemson University
2009 - 2010
Memberships
American Statistical Association, Institute of Mathematical Statistics, American Association for
the Advancement of Science, Society of Industrial and Applied Mathematics
PROFESSIONAL WORK EXPERIENCE
Shutterfly, Inc.
May - August 2013
Consumer Insights and Analytics Intern; Redwood City, CA
Worked with marketing leadership to formulate marketing strategy and decisions using statistical
insights.
SOFTWARE and PROGRAMMING SKILLS
R, Matlab, C++, Python, LATEX, Microsoft Office, Html, Adobe Illustrator, Gephi
REFERENCES
Andrew B. Nobel
Professor of Statistics
Statistics and Operations Research
University of North Carolina, Chapel Hill
nobel@email.unc.edu
Haipeng Shen
Professor of Statistics
Statistics and Operations Research
University of North Carolina, Chapel Hill
haipeng@email.unc.edu
Shankar Bhamidi
Associate Professor of Statistics
Statistics and Operations Research
University of North Carolina, Chapel Hill
bhamidi@email.unc.edu
Peter J. Mucha
Professor of Mathematics
Chair of Applied Physical Sciences
University of North Carolina, Chapel Hill
mucha@unc.edu
Jan Hannig (Teaching)
Professor of Statistics
Statistics and Operations Research
University of North Carolina, Chapel Hill
hannig@email.unc.edu