Bayesian phylogenetic inference is often conducted via local or sequential search over
topologies and branch lengths using algorithms such as random-walk Markov chain Monte …

We present TreePPL, a language for probabilistic modeling and inference in statistical
phylogenetics. Specifically, TreePPL is a domain-specific universal probabilistic …

This thesis discusses four novel statistical methods and approximate inference techniques
for analyzing structured neural and molecular sequence data. The main contributions are …