Associate Professor Department of Mathematics and Statistics University of San Francisco
Email: jdwilson4 (at) usfca (dot) edu Twitter: @ThisIsJDWilson
Orcid: http://orcid.org/0000-0002-2354-935X
Google Scholar Page
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I am an Associate Professor of statistics and data science at the University of San Francisco in the Department of Mathematics and Statistics.
I have a broad background and broad interests in statistics, biostatistics, and data science with expertise in the modeling and analysis of complex network data with applications to social and functional neuroimaging data. I am particularly interested in understanding the interplay between social dynamics, neuro-biological systems, aging, behavior, and disease. My research has been partially funded by the National Science Foundation and the National Institutes of Health. See my Research page for more details of my past and ongoing work.
I received my Ph.D in the Department of Statistics and Operations Research under the advisement of Professors Shankar Bhamidi and Andrew Nobel at the University of North Carolina at Chapel Hill.
Videos of Past Presentations
<Community Detection in Multilayer Networks with Heterogeneous Community Structure>, Network Science Institute at Northeastern University. February, 2018 (1 hour)
<Identifying Interpretable Functional Characteristics of the Brain from Resting State fMRI using multi-node2vec>, Data Science Meetup at the University of San Francisco. March, 2019 (1 hour)
<Statistical Models for Integrating Functional Connectivity with sMRI and PET Brain Imaging Data>, Department of Statistics, University of Victoria. November, 2021 (1 hour)
<Interpretable Network Representation Learning with Principal Component Analysis>, Department of Statistics, University of California at Santa Cruz. April, 2022 (1 hour)
<Liberals, Conservatives, and the Political Brain: fMRI studies of Political Ideology>. Center for Neuropolitics Lecture Series, University of California at Irvine. January, 2023 (1.5 hours; with Skyler Cranmer, Zhong-Lin Lu, and Seo Eun Yang)
PRESS
The Political Brain: article covered by 50+ media outlets including NBC Nightly News: https://news.osu.edu/brain-scans-remarkably-good-at-predicting-political-ideology/