Daniel T. Kaplan
Curriculum Vitae, June 2024
| dtkaplan@gmail.com | |
| github | dtkaplan |
| website | danielkaplan.org |
Professional Summary
My career has spanned several periods: a biomedical-engineering period when I was involved in signal processing using emerging tools from nonlinear dynamics, a physiology period as a researcher and a teacher of pre-medical physiology and biology courses, a period as an applied-mathematics/computational-science educator which has segued into statistics, statistical modeling, data science, and machine learning. In each of these periods, I have developed texts and other learning materials across a variety of fields: introductory statistics, computational-statistics & data-science, introductory calculus (taught as an applied subject), computer programming, and epidemiology. Over the past 15 years, I have worked extensively with faculty from colleges nationwide to develop their professional and computational skills in teaching the core mathematics curriculum and statistics in a genuinely applied way. I have a national and international reputation for this work. This interview from the Journal of Statistics Education captures much of the motivation and philosophy behind this work.
A constant throughout my career has been computation. I learned to program as a 14-year old and have worked professionally with a large variety of languages including (in roughly chronological order) BASIC, FORTRAN, APL, UNIX web scripting, C, Mathematica, C++, Scheme, MATLAB, and R, and the many auxiliary systems relating to typesetting, publishing, graphics, and websites. It can’t be known for sure, but I am likely the first person in North America to teach introductory statistics with R (starting 1997), and I was one of the earliest course developers in Mathematica (circa 1990).
Employment
| 2020-2023 | Academy Research and Development Institute (ARDI) Distinguished Visiting Professor and Coors Chair | United States Air Force Academy |
| 2021-present | DeWitt Wallace Professor Emeritus | Macalester College |
| 2006-2021 | DeWitt Wallace Professor of Mathematics, Statistics, and Computer Science | Macalester College |
| 2000-2006 | Associate Professor | Macalester College |
| 1997-2000 | Assistant Professor | Macalester College |
| 1994-1996 | Assistant Professor | McGill University Faculty of Medicine |
| 1991-1994 | Post-doctoral Fellow | McGill University Faculty of Medicine |
| 1989-1991 | Scientist | Colin Medical Instruments (Japan) |
Visiting Appointments
| 2020-2023 | United States Air Force Academy | Distinguished visiting professor |
| 2017 | Institute for Math and its Applications, University of Minnesota | Invited instructor |
| 2010 | Royal Melbourne Institute of Technology | Visiting scholar |
| 2008 | University of Queensland (Australia) | Visiting scholar |
| 2001 | Pembroke College, University of Oxford (UK) | Fellow |
| 1996 | Université de Paris VI | Visiting scholar |
Education
| 1986-1989 | Ph.D (biomedical physics) | Harvard University |
| 1984-1986 | M.S. (biomedical physics) | Harvard University |
| 1981-1982 | M.S. (engineering-economic systems) | Stanford University |
| 1977-1981 | B.A. with high honors (physics and philosophy) | Swarthmore College |
Awards and Honors
| 2020-2023 | Holland H. Coors Chair in Education Technology | ARDI Educational Excellence Foundation |
| 2017-onward | Daniel T Kaplan Prizes in Data Science | Three prizes endowed by faculty colleagues and alumni awarded annually to graduating Macalester seniors |
| 2017 | Lifetime Achievement Award in Statistical Education | CAUSE/USCOTS |
| 2006 | Annual Excellence in Teaching Award | Macalester College |
Textbooks
Statistics and Data Science
DanielTKaplan (2024), Lessons in Statistical Thinking, Project MOSAIC Books
Benjamin S Baumer, Daniel T Kaplan, Nicholas J Horton (2017) (2nd edition in 2021), Modern data science with R, CRC Press
Daniel T Kaplan (Online edition 2020/first edition 2016), Data Computing: An Introduction to Wrangling and Visual- ization with R, Project MOSAIC Books
Daniel T Kaplan (2009) (Second edition 2011, Kindle electronic edition 2020) Statistical Modeling: A Fresh Approach, Project MOSAIC Books
Daniel T Kaplan (2020), Compact Guide to Classical Inference, StatPREP.org
Daniel T Kaplan (1999), Resampling Stats in MATLAB, resample.com
Colleen D Cutler & Daniel T Kaplan (eds) (1997), Nonlinear dynamics and time series: Building a Bridge Between the Natural and Statistical Sciences, American Mathematical Society
Applied Mathematics
Daniel T Kaplan (2022), MOSAIC Calculus, Project MOSAIC
Daniel T Kaplan (2013), Start R in Calculus, Project Mosaic Books
Daniel T Kaplan & Leon Glass (1995), Understanding Nonlinear Dynamics, Springer
Computational Science
Daniel T Kaplan (2003), Introduction to Scientific Computation and Programming (in MATLAB), Brooks/Cole
Daniel T Kaplan, Simon D Levy, Kenneth A Lambert (2016), Introduction to Scientific Computation and Programming in Python, Project Mosaic Books
R (statistics language)
Nicholas J Horton, Randall Pruim, Daniel T Kaplan (2015), Student’s Guide to R, Project MOSAIC Books
Randall Pruim, Nicholas J Horton, Daniel T Kaplan (2015), Start Teaching with R, Project MOSAIC Books