Kaplan is an expert in the application of nonlinear dynamics to biomedical problems.
His work deals with chaos and fractals, focusing on biological and medical applications
such as determining whether irregular heart rhythms are random or chaotic. Kaplan teaches
courses in applied mathematics, statistics and computer science. He is the author of
Understanding Nonlinear Dynamics. 

EDUCATION: B.A., Swarthmore College; M.S., Stanford University; Ph.D., Harvard

Kaplan has been teaching at Macalester since 1996. 

Journal Articles


Conference review: Kickoff workshop for project mosaic (with N. J. Horton and N. J. Pruim), R Journal (2011)


Rethinking assessment of student learning in statistics courses (with Joan Garfield, Andrew Zieffler, George Cobb, Beth Chance, and John P. Holcomb), The American Statistician (2011)


Computing and Introductory Statistics, Technology Innovations in Statistics Education (2007)

Much of the computing that students do in introductory statistics courses is based on techniques...



Detrended Fluctuation Analysis of EEG as a Measure of Depth of Anesthesia, IEEE Transactions on Biomedical Engineering (2006)



Understanding Nonlinear Dynamics (with L. Glass) (1995)