Through academic excellence, we provide the theoretical foundation for critical thinking in quantitative problem solving and reasoning. We help students to develop their ability to effectively communicate mathematics, and prepare them for success in a career in actuarial mathematics, applied mathematics, applied statistics, or other profession.


Department Faculty

Adjunct Professors

  • Patricia Capuano
  • David Deacon
  • Gerard Ethier
  • JoAnn Lovett
  • Bradford Monroe
  • Eric Simonian
  • Denise Trudeau
  • William Velle
  • Suzanne Walker
Quinn, John

John T. Quinn

Professor, Mathematics
Faculty Suite J, Room 124
Ph D, Harvard University
SM, Harvard University
BS, Brown University

Calculus, Linear Algebra, Probability, Interest Theory

Operations Research, Data Mining, Statistical Analysis, Decision Theory

  • American Economic Association
  • American Statistical Association
  • Kappa Mu Epsilon
  • Mu Sigma Rho
  • Tau Beta Pi Honor Society

Quinn, C. J., Quinn, M. J., Olinsky, A., Quinn, J., How Information Spreads in Online Social Networks, Emerald Group Publishing, 2016.

Hartl, T., Quinn, J., Kennedy, K., Timely Curriculum Changes to an Undergraduate Actuarial Program, Society of Sciences and Education.

Nguyen, S., Lamere, A. T., Olinsky, A., Quinn, J., The Effects of Sampling Methods on Machine Learning Models for Predicting Long-term Length of Stay: A Case Study of Rhode Island Hospitals, International Journal of Rough Sets and Data Analysis (IJRSDA)/IGI Publishing.

Nguyen, S., Niu, G., Quinn, J., Olinsky, A., Ormsbee, J., Smith, R., Bishop, J., Detecting non-injured passengers and drivers in car accident: A new under-resampling method for imbalanced classification, Emerald Group Publishing.

Nguyen, S., Quinn, J., Olinsky, A., Schumacher, P., Effects of resampling techniques on imbalanced data classification: A new under-resampling method, International Journal of Data Analysis Techniques and Strategies / Inderscience Publishers.

Nguyen, S., Olinsky, A., Quinn, J., Schumacher, P., Predictive Modeling for Imbalanced Big Data in SAS Enterprise Miner and R, International Journal of Fog Computing (IJFC)/IGI Publishing, 2018.

Nguyen, S., Quinn, J., Olinsky, A., An oversampling technique for classifying imbalanced datasets, Emerald Group Publishing Limited, 2018.

Olinsky, A., Quinn, J., Schumacher, P., Visualization of Predictive Modeling for Big Data using Various Approaches when there are Rare Events at Differing Levels, IGI Global, 2018.

Quinn, C., Quinn, M., Olinsky, A., Quinn, J., Issues and Methods for Access, Storage, and Analysis of Data from Online Social Communities., IGI Global, 2018.

Quinn, J., Schumacher, P., Olinsky, A., Medicare Charges and Payments: Data Analysis, Benford’s Law and Imputation of Missing Data, Case Studies in Business, Industry, and Government Statistics (CSBIGS) , 2016.

Schumacher, P., Quinn, J., Olinsky, A., An Expanded Assessment of Data Mining Approaches for Analyzing Actuarial Student Success Rate, International Journal of Business Analytics (IGI Global), 2016.

Quinn, J., Olinsky, A., Schumacher, P., Smith, R., Cluster Analysis and Persistence in College Majors, Journal of Applied Research in Higher Education, Emerald Group Publishing, 2015.

Quinn, J., Schumacher, P., Olinsky, A., BENFORD’S LAW AND IMPUTATION OF MISSING DATA, NEDSI 2014, 2014.

Kennedy, K., Salzillo, M., Olinsky, A., Quinn, J., Forecasting Patient Volume for a Large Hospital System: A Comparison of the Periodicity of Time Series Data and Forecasting Approaches., Emerald Group Publishing Limited, 2013.

Olinsky, A., Schumacher, P., Quinn, J., Assessing Data Mining Approaches for Analyzing Actuarial Student Success Rate, IGI Global Publishing, 2013.

Bishop, J., Smith, R., Quinn, J., The Stock Market and Presidential Election Polling – A Statistical Analysis, European Journal of Social Sciences, 2012.

Olinsky, A., Schumacher, P., Quinn, J., The Importance of Teaching Power in Statistical Hypothesis Testing, International Journal for Mathematics Teaching and Learning, 2012.