John Handley is a research scientist who focuses on applying advanced statistical and data analytic methods in diverse fields such as image processing, psychometrics, urban analytics and mobility, service pricing and contracts, and quantitative paleoecology. In his role at the Rochester Data Science Consortium, he collaborates with industrial and academic scientists and engineers to drive economic impact.
Prior to joining University of Rochester, John was a principal scientist at Xerox, Xerox PARC and Conduent, Inc. where he led a variety of projects in transportation, device management, and service contract analytics. He also served as a consultant to Bellcore and Lexis/Nexis in document image processing.
John holds B.S. and M.S. degrees in Mathematics from Ohio State University and received a Ph.D. in Imaging Science from Rochester Institute of Technology. He serves as a Research Associate with the Paleontological Research Institution affiliated with Cornell University. He is a Senior Member of IEEE. He is an appointed member of Transportation Research Board’s ABJ80 Committee on Statistical Methods.
- C. Handley, L. Fu and L. L. Tupper (2019). A case study in spatial-temporal accessibility for a transit system, Journal of Transport Geography, 75, pp. 25-36. – link
- A. Smith, G. P. Dietl, J. C. Handley (2019). Durophagy bias: The effect of shell destruction by crushing predators on drilling frequency, forthcoming in Palaeogeography, Palaeoclimatology, Palaeoecology, 514, pp. 690-694. – link
- C. Ivany, C. Pietsch, J. C. Handley, R. Lockwood, W. D. Allmon and J. A. Sessa (2018). Little lasting impact of the Paleocene-Eocene Thermal Maximum on shallow marine mollusk faunas, Science Advances, 4(9). – link
- A. Smith, J. C. Handley, and G. P. Dietl (2018). Effects of dams on downstream molluscan predator-prey interactions in the Colorado River estuary. Proceedings of the Royal Society B: Biological Sciences, 285(1879). – link
- Lin, J. C. Handley, Y. Gu, L. Zhu, X. Wen and A. W. Sadek (2018). Quantifying uncertainty in short-term traffic prediction and its application to optimal staffing level plan development. Transportation Research – Part C, 92, pp. 323-348. – link
- A. Smith, J. C. Handley, and G. P. Dietl (2018). On drilling frequency and Manly’s alpha: Towards a null model for predator preference in paleoecology. Palaios, 33(2), pp. 61-68. – link
- Ning, V. Babich, J. Handley and J. Keppo (2018). Risk-aversion and B2B contracting under asymmetric information: Evidence from managed print services. Operations Research, 66(2), pp. 392-408. – link
- Kosloski, G. Dietl and J. C. Handley (2017). Anatomy of a cline: dissecting anti-predatory adaptations in a marine gastropod along the U.S. Atlantic Coast. Ecography, 40(11), pp. 1285-1299. – link
- J. Nagel-Myers, G. P. Dietl, J. C. Handley and C. E. Brett (2013). Abundance is not enough: The need for multiple lines of evidence in testing for ecological stability in the fossil record. PLOS One – link