Assistant Professor of Statistics and Data Science Co-Director of Data Science University of San Francisco

Assistant Professor of Statistics and Data Science

Co-Director of Data Science

University of San Francisco

EMAIL: JDWILSON4 (AT) USFCA (DOT) EDU  PHONE: 415-422-6505

ORCIDhttp://orcid.org/0000-0002-2354-935X

I finished my Ph.D in Statistics and Operations Research under the advisement of Professors Shankar Bhamidi and Andrew Nobel at the University of North Carolina at Chapel Hill in 2015. I am now an Assistant Professor of Statistics at the University of San Francisco (USF), where I am part of the Department of Mathematics and Statistics, the Master of Analytics program, and co-Director of the Data Science Program.

My research focuses on the development, analysis and application of computational methods for complex network data. My work relies on applying statistical principles from random graph theory to enable inference on various families of networks, including multilayer, dynamic and weighted networks. I work on network problems in a variety of application areas, including functional brain imaging, political voting trends, and labor market competition. See my Research page to find out more.

I also work closely with companies in the Bay Area to solve exciting data science and network analysis problems. This year I am excited to be working with analytics members at the Houston Astros, Xoom, Zipcar, and Bracket Voodoo. 

Feel free to explore the links on this website for more details about the nature of my research, teaching, and my role in statistics.

News

Our paper Community Extraction in Multilayer Networks with Heterogeneous Community Structure was accepted to the Journal of Machine Learning Research!  See the link for the most recent version.

I will be giving a talk on community detection in multilayer networks at Lawrence Livermore National Labs on Thursday, November 16th. 

Job Openings: The Data Institute is hiring a tenure track faculty in data science as well as a postdoctoral fellow in data science. Apply today, and email me if you have questions.