Jack Kamm is currently a PhD student in Statistics at UC Berkeley, advised by Yun Song. He has a BS (Mathematical & Computational Science) and MS (Statistics) from Stanford. Jack's main research interest is in models from theoretical population genetics (in particular, coalescent theory), and in applying these models to genomic sequence data. He also is interested in time series, spatial statistics, and Bayesian inference.
- Evolutionary Biology and the Theory of Computing, Spring 2014. Visiting Graduate Student.