Summary
Daniel Kaplan is a nationally recognized professor of Mathematics, Statistics, and Computer Science at Macalester College with 14+ years formally listed experience and a career spanning research in cardiac electrodynamics to pioneering undergraduate data science curricula. He authors multiple university-level textbooks and several R packages that integrate professional computing into statistics, calculus, and data science instruction. An award-winning teacher and curriculum developer, he builds courses that deliberately weave calculus, statistics, and CS so students achieve deeper conceptual understanding and practical technical proficiency. His background—PhD in Biomedical Physics from Harvard and an MS from Stanford in Engineering-Economic Systems—informs a quantitative, interdisciplinary approach to pedagogy and research. Based in Saint Paul, Minnesota, he is notable for translating advanced mathematical ideas into accessible classroom tools and software that broaden participation in computational statistics.
14 years of coding experience
Doctor of Philosophy (PhD), Biomedical Physics, Doctor of Philosophy (PhD), Biomedical Physics at Harvard University Graduate School of Arts and Sciences
Master's degree, Engineering-Economic Systems, Master's degree, Engineering-Economic Systems at Stanford University
French