Michael Karcher

Assistant Professor, Statistics
Mathematics & Computer Science
484-664-3352

[email protected]


Education

  • Ph.D., Statistics, University of Washington
  • B.A., Mathematics, Swarthmore College


Teaching Interests

I teach because I loved the statistics courses I've taken, and I want to share that with new generations of students. In my undergraduate studies, I loved probability and mathematical statistics, and so I am excited to get to teach those classes here. In graduate school, I enjoyed stochastic modeling enough to build my dissertation on it, and one of the things that drew me to Muhlenberg was its exciting new graduate program with opportunities to teach about stochastic modeling.

I must also acknowledge that, unfortunately, not every student has such a positive relationship with statistics. Introductory statistics in particular has a somewhat harsh reputation as a difficult class, which I believe is not inherently warranted. In my teaching, I seek to make all of my statistics classes clear and accessible to all my students in order to share the enjoyment I had learning it.


Research, Scholarship or Creative/Artistic Interests

Most of my research has been in population genetics and phylodynamics. Both fields are related by using genetic sequence data samples (DNA or RNA from animals or viruses, for instance) to reconstruct a kind of family tree, called a genealogy, interrelating the ancestries of the members of the population that the samples were drawn from. You then have the option to use the genealogy to calculate estimates of the population size over time.

In particular, I built a method for detecting if the samples were drawn using convenience sampling (drawn proportionally to the population) and if so, incorporating the extra information into the analysis. In more recent work, I developed a method for combining genealogies on overlapping samples into a set of genealogies on all of the samples, often referred to as supertrees.

I have also spent some time doing research in cosmology and astrostatistics. I helped scientists design simulations of the early universe, tuning their models so as to end up matching as closely as possible the universe we observe today.


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