Our Team

The Data and Decision Sciences Lab is composed of top-tier researchers with years of experience in data science, operations research, and statistics projects.

D.Sc., Operations Research, The George Washington University, 2001
M.A., Mathematics, University of Oxford, England, 2002
B.A., Mathematics, University of Oxford, England, 1998

Andrew is an Associate Professor in the department of Mathematical and Data Sciences at the University of Nebraska at Omaha, having joined the department in 2006. He received a DSc. in Operations Research from George Washington University, and a M.A. and B.A. in Mathematics from Oxford University. He previously was a Visiting Assistant Professor at Worcester Polytechnic Institute. During his career, he has taught a variety of statistics, operations research, and mathematics courses.

Andrew’s research includes both theoretical and applied topics in statistics and operations research. His theoretical research includes work on such topics as discrete distribution approximation and flexible count distributions. His applied research includes data analysis on topics such as mammal biology, sports, and mathematical education. Andrew also has work as a consultant on several projects and has made several media appearances as a subject matter expert.

Andrew is a member of the American Statistical Association and the International Statistical Institute. He serves as an associate editor of the Journal of Quantitative Analysis in Sports and is a recipient of the Simons Foundation collaboration grant in mathematics.

From S., and Swift A. W., Some New Bounds and Approximations on Tail Probabilities of the Poisson and Other Discrete Distributions, Probability in the Engineering and Informational Sciences, 34(1), 53-71 (2020).

Ciurej A., Oblander A., Swift A. W. , and Wilson J., Melanism as a Potential Thermal Benefit in Eastern Fox Squirrels (Sciurus niger), European Journal of Ecology, 5(2), 79-87 (2019).

Sellers K., Swift A. W. , and Weems K., A Flexible Distribution Class for Count Data, Journal of Statistical Distributions and Applications, 4(22), 21pp. (2017).

Hodge A., Love B., Grandgenett N., and Swift A. W. , A Flipped Classroom Approach: Benefits and Challenges of Flipping the Learning of Procedural Knowledge, Online Learning: Common Misconceptions, Benefits and Challenges , P. R. Lowenthal, C. S. York, and J. C. Richardson, Eds., Nova Science Pub, 49-60 (2014).

Love B., Hodge A., Grandgenett N., and Swift A. W. , Student Learning and Perceptions in a Flipped Linear Algebra Course, International Journal of Mathematical Education in Science and Technology , 45(3), 317-324 (2014).

Swift A. W. and Wang B., Moment-Based Approximations of Discrete Probability Distributions Using Rational Functions,  Communications in Statistics – Simulation and Computation, 42(10), 2203-2222 (2013).

From S., and Swift A. W., A Refinement of Hoeffding’s Inequality, Journal of Statistical Computation and Simulation, 83(5), 975-981 (2013).

From S., and Swift A. W., Generalized Median Estimators for Small Even Sample Sizes, Advances and Applications in Statistical Sciences, 4(2), 145-164 (2010).

From S., and Swift A. W., Convolution of Independent Bernoulli Random Variables and Some New Approximations, Advances and Applications in Statistical Sciences, 2(1), 37-50 (2010).

Swift A. W., Stochastic Models of Cascading Failures,  Journal of Applied Probability, 45(4), 907-921 (2008).

Swift A. W., Methods for Assessing Network Reliability, Mathematical Reliability: An Expository Perspective, International Series in Operations Research & Management Science , R. Soyer, T. A. Mazzuchi, and N. D. Singpurwalla, Eds., Kluwer Academic Publishers, Boston MA, 67, 55-68 (2004).

Singpurwalla N., Kong C., and Swift A. W. , Predicting Damage, Mathematical and Statistical Methods in Reliability, Series on Quality, Reliability & Engineering Statistics , B. H. Lindqvist and K. A. Doksum, Eds., World Science Publisher, River Edge NJ, 7, 267-281 (2003).

Singpurwalla N. and Swift A. W. , Network Reliability and Borel’s Paradox, The American Statistician, 55(3), 213-218 (2001).

Graduate Student

Project: Stock Market Forecasting Web Application
Collaborator: TD Ameritrade
Year: 2019

Graduate Student

Project: Agile Software Development Productivity Metrics
Collaborator: Northrop Grumman
Year: 2018

Graduate Student

Research: A Ratio-Based Method for Predicting Point Differentials in Sports
Year: 2015