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4 total posts. Showing results 1 - 4.

Erin Munro-Krull

Erin C. Munro Krull

  • Ph.D., Tufts University
  • M.A., Tufts University
  • B.A., Connecticut College
Andrea Young

Andrea N. Young

  • Ph.D. in Mathematics, The University of Texas at Austin
  • B.S. in Mathematics, Pennsylvania State University
David Scott Portrait

David W. Scott

  • M.A. in Mathematics, University of Wisconsin-Madison
  • B.A. in Mathematics, Pomona College

The son of a Ripon College chemistry professor and associated with the college since 1962, I’ve worked with students since 1980. I served as men’s soccer coach from 1980-1995, left that when I was Director of Coaching Education for the Wisconsin Soccer Association to be assistant coach for 25 years at Marian University, and have now returned as assistant coach here. However, I began teaching part-time in the math department in 1982 and have taught full-time since 1984. In addition, for more than 20 years I have taught a fencing course for the college. I have also played trombone many semesters in the college jazz ensemble or the college orchestra.

For much of my time here our department had a philosophy that we should all be able to teach essentially any of the courses we offer in mathematics, and I have taught all of them multiple times with only a couple of exceptions. I have also taught a large number of courses in computer science over the years, developing our first courses in artificial intelligence and algorithms, as well as teaching programming in a variety of languages. I particularly like teaching courses in discrete math, algebraic structures, and geometry and topology (my area of study in graduate school), but I always teach the course in secondary teaching methods. I have great interest in education, and have served for 20 years on the Ripon school board. I am especially interested in students who want to be teachers at any level.

McKenzie Lamb

McKenzie Lamb

  • Ph. D. Mathematics, University of Arizona
  • B.A. Mathematics, Beloit College

I’m a mathematician by training. My dissertation and first published paper focused on Poisson Lie theory, which combines elements of algebra and differential geometry. In recent year, however, I have pivoted toward more applied topics–board game analysis, gerrymandering, applications of machine learning, for example. As a consequence, the tools I use have shifted from abstract arguments to computer simulations. I am especially interested in how Monte Carlo simulations, optimization algorithms, and machine learning techniques can be applied to real-world situations. I am also interested in how graphical representations of data can be used to support quantitative reasoning.

In my spare time, I enjoy challenging myself by trying new activities for which I have no natural ability. Recently, I have taken up long distance longboarding, and the fact that I am not good at it only increases my motivation. I also enjoy skate skiing, rock climbing, and mountain biking.