Bio
Dr. Vaughan's teaching and research focus on statistics and data analytics. His statistical methodology research focuses on longitudinal data, statistical learning, and high-dimensional statistics. He also collaborates with other researchers in a variety of fields including suicide prevention, the interface of business and biotech, and education. Dr. Vaughan is also actively involved in outreach and service to the broader statistical community with several activities focused on supporting future statisticians and data scientists.
Professional Memberships
Bentley Health Thought Leadership Network 2017 - PresentNew England Statistical Society 2017 - PresentInternational Biometric Society 2016 - PresentInternational Chinese Statistical Association 2016 - PresentAmerican Statistical Association 2014 - PresentAwards and Honors
2020, Outstanding Scholarly Contribution award, Bentley Teaching and Scholarly Activities Committee2018, Winner of 2018 JSM Data Expo, American Statistical Association2018, Dean's Fund for International Travel, Dean of Arts & Sciences and the Dean of Business2017, International Conference on Health Policy Statistics Travel Award, International Conference on Health Policy Statistics 2017, Bentley Health Thought Leadership Network funding proposal, Bentley Health Thought Leadership Network2017, Student Paper Award, Mental Health Statistics Section2016, Departmental Service Award, University of Connecticut2016, Doctoral Student Travel Award, University of Connecticut2016, Pre-Doctoral Dissertation Fellowship, University of Connecticut2012, Presidential Fellow, Trinity College2012, Robert C. Stewart Prize, Trinity CollegePublications
Journal Articles
Shah, P., Vaughan, G., Ledley, F. D. (2023). Comparing the economic terms of biotechnology licenses from academic institutions with those between commercial firms.. PLOS ONE. (Link)Roy, D., Vaughan, G., Hui, ., Geng, J. (2023). An exploration of National Weather Service daily forecasts using R Shiny. Computational Statistics. Canino, M. C., Dunn-Lewis, C., Proessl, F., LaGoy, A. D., Hougland, J. R., Beck, A. L., Vaughan, G., Sterczala, A. J., Connaboy, C., Kraemer, W. J., Flanagan, S. D. (2022). Finding a Rhythm: Relating Ultra-Short-Term Heart Rate Variability Measures in Healthy Young Adults During Rest, Exercise, and Recovery. Autonomic Neuroscience: Basic and Clinical. Rahman, N., Mozer, R., McHugh, K., Rockett, I., Chow, C. M., Vaughan, G. (2022). Using Natural Language Processing to Improve Suicide Classification Requires Consideration of Race. Suicide and Life Threatening Behavior, (52) 4 782-791. Vaughan, G., Aseltine, R., Chen, K., Yan, J. (2020). Efficient interaction selection for clustered data via stagewise generalized estimating equations. Statistics in Medicine. Vaughan, G. (2020). Efficient big data model selection with applications to fraud detection . International Journal of Forecasting. Ledley, F. D., McCoy, S. S., Vaughan, G., Cleary, E. (2020). Profitability of Large Pharmaceutical Companies Compared With Other Large Public Companies.. JAMA, (323) 9 834-843. Ganguli, D., Zhang, K., Zhu, X., Vaughan, G., Berger, P. D. (2019). Opioid Usage in the United States. Advances in Social Science Research Journal, (6) 5 232 - 249. Vaughan, G., Aseltine, R., Chen, K., Yan, J. (2017). Stagewise generalized estimating equations with grouped variables. Biometrics. 73 1332-1342.
Book Chapters
Vaughan, G., Aseltine, R., Chiou, S., Yan, J. (2016). An alarm system for flu outbreaks using Google Flu Trend data. In Jianchang Lin, Bushi Wang, Xiaowen Hu, Kun Chen, Ray Liu, (Eds.) Statitical Applications From Clinical Trials and Personalized Medicine to Finance and Business Analytics. Springer
Other(s)
Vaughan, G., Chen, K., Yan, J. (2018). sgee: Stagewise Generalized Estimating EquationsThe Comprehensive R Archive Network. Presentations
Vaughan, G., Du, R., Ledley, F. D. (2021). “Will Reducing Drug Prices Slow Innovation?” Presented at the Bentley Research Council Bentley Research Symposium Waltham MA Vaughan, G. (2021). “High-Dimensional Analysis: Catching the best predictors with LASSO” Presented at the Connecticut College Connecticut College Research Colloquium New London Vaughan, G. (2020). “Stagewise Estimating Equations for Variable Selection with Longitudinal Rate Data” Presented at the American Statistical Association Joint Statistical Meetings Virtual Vaughan, G. (2019). “Stagewise Generalized Estimating Equations for Varying Coefficient Models” Presented at the American Statistical Association Joint Statistical Meetings Denver Colorado Vaughan, G. (2019). “Moving to a World Beyond ``p<0.05'': A Discussion” Presented at the Bentley's Center for Integration of Science and Industry Center for Integration of Science and Industry special presentation Waltham Massachusetts Vaughan, G. (2019). “Efficient Big Data Model Selection with Applications to Fraud Detection” Presented at the Mathematical Sciences Department Mathematical Sciences Research Seminar Bentley University Vaughan, G. (2018). “Session 3: What I do as a data scientist” Presented at the New England Statistical Society- NextGen Day of Data ScienceVaughan, G. (2018). “ Efficient Big Data Model Selection with Applications to Fraud Detection” Presented at the American Statistical Association Joint Statistical Meetings Vancouver, Canada Roy, D., Vaughan, G., Hui, J., Geng, J. (2018). “Should You Pay Attention to Daily Weather Forecast? An Exploration ” Presented at the American Statistical Association Joint Statistical Meetings Vancouver, Canada Vaughan, G. (2018). “ Efficient big data model selection with applications to fraud detection. ” Presented at the International Chinese Statistical Association ICSA Applied Statistics Symposium New Brunswick, New Jersey Vaughan, G. (2018). “Self Driving Cars: Deep Learning in the Automobile Industry” Presented at theDr. Fred Ledley's Futurism courseVaughan, G. (2018). “Efficient Big Data Model Selection with Applications to Fraud Detection” Presented at the New England Statistics Society 32nd New England Statistical Symposium Amherst, MA Vaughan, G. (2018). Presented at the Bentley Data Innovation Network 3rd Analytics Without BordersVaughan, G. (2018). “Efficient Big Data Model Selection with Applications to Fraud Detection” Presented at the Bentley Data Innovation Network 3rd Analytics Without Borders Waltham, MA Vaughan, G. (2018). “High-Dimensional Analysis” Presented at the Center for Integration of Science and Industry Center for Integration of Science and Industry Meeting Waltham, MA Vaughan, G., Chen, K., Yan, J., Aseltine, R. (2018). “Efficient Interaction Selection via Stagewise Generalized Estimating Equations ” Presented at the American Statistical Association International Conference on Health Policy Statistics Charleston, South Carolina Vaughan, G. (2017). “Efficient Model Selection for Correlated Data via Stagewise Generalized Estimating Equations” Presented at the Bentley Research Council Bentley Research Symposium Waltham MA Vaughan, G. (2017). “Stagewise generalized estimating equations with applications to suicide prevention” Presented at the American Statistical Association Joint Statistical Meetings Baltimore, MD Vaughan, G. (2017). “Efficient stagewise regression for correlated data with interaction selection” Presented at the University of Connecticut Modern Modeling Methods Conference Storrs, CT Vaughan, G. (2017). “Model Selection and Dimension Reduction: Dealing with High-Dimensional Analysis” Presented at the University of Connecticut University of Connecticut Statistical Consulting Spring Workshop SeriesVaughan, G. (2017). “Efficient Interaction selection via stagewise generalized estimating equations” Presented at the New England Statistical Society 31st New England Statistics Symposium Storrs, CT Vaughan, G. (2017). “Stagewise generalized estimating equations” Presented at the Department of Statistics, University of Connecticut Department of Statistics Colloquium Storrs, CT Vaughan, G. (2017). “Stagewise generalized estimating equations with grouped variables” Presented at the ENAR/IBS Eastern North American Region International Biometric Society Meeting Washington, DC Vaughan, G. (2016). “Stagewise generalized estimating equations” Presented at the Smith College Women In Mathematics In New England Northhampton, MA Vaughan, G. (2016). “Stagewise generalized estimating equations” Presented at the American Statistical Association Joint Statistical Meetings Chicago, IL Vaughan, G. (2015). “Surveillance of flu epidemic in Connecticut with Google Flu Trend data” Presented at the ICHPS 2015 Scientific Organizing Committee 11th International Conference on Health Policy Statistics Providence, RI Vaughan, G. (2015). “Surveillance of flu epidemic in Connecticut with Google Flu Trend data” Presented at the University of Connecticut 29th New England Statistics Symposium Storrs, CT Service
Department Service
Committee Member for Math Minors Working Group 2022 - 2023Committee Member for Search Committee 2022 - 2023Committee Member for ST113 Syllabus Working Group 2022 - 2022Committee Member for Search Committee 2018 - 2019University Service
Committee Chair for Curriculum Policy Committee 2023 - PresentCommittee Member for Curriculum Policy Committee 2022 - PresentSenator for Faculty Senate 2022 - PresentProfessional Service
Officer, Vice President for NESS Strategies and Development 2023 - PresentCommittee Member for NESS NextGen 2018 - PresentReviewer, Journal Article for PLoS One - 2023Reviewer, Journal Article for Journal of Machine Learning Research 2022 - 2023Reviewer, Journal Article for Biometrics - 2020Committee Member for Data Science Day Organizing Committee 2020 - 2020Reviewer, Journal Article for Statistical Modeling 2019 - 2020Conference/Workshop Organizer for Connecticut Data Fest 2016 - 2019Committee Chair for Data Science Day Local Organizing Committee 2019 - 2019Poster Competition Judge for New England Statistics Symposium - 2019Committee Member for Statathon Organizing Committee 2018 - 2019Reviewer, Journal Article for Statistics In Medicine 2018 - 2019Officer, President/Elect/Past for Graduate Student Committee 2016 - 2017Steward/Representative for Graduate Student Union 2014 - 2017Committee Chair for NESS Student Committee - 2017Committee Chair for NESS Registration Committee - 2015
