 Like Edwards and Cavalli-Sforza before him, Felsenstein (1978) treats phylogenetic inference as a problem for statistics. Jerzy Neyman (1971) pointed to the emerging field of molecular phylogenetics as a source of novel and interesting statistical problems. In the intervening fifty years the field has only expanded in importance to the point where phylogenetic inference is now one of the central problems in statistics. Similarly, research on algorithms for inferring phylogenies has been important in computer science for decades.