I am a computational and theoretical evolutionary paleobiologist who is primarily interested in developing novel methodologies and tools in order to answer questions about macroevolutionary dynamics in deep time.
Currently, I am a postdoctoral researcher with Fredrik Ronquist at the Swedish Museum of Natural History, working on improving probabilistic models of morphological evolution for phylogenetic inference.
My research uses statistical modeling, Bayesian inference, Big Data, and machine learning to understand morphological evolution and macroevolutionary patterns and processes. I am particularly interested in bringing a ‘next-generation’ approach (e.g., high-throughput automated data generation) to studying fossils and morphology in a phylogenetic context. I am also interested in the interplay between morphology and genetics/genomics, including methodological considerations during phylogenetic inference (e.g., phylogenetic incongruence, total-evidence analyses, etc.).
I work with both vertebrate and invertebrate systems. Taxonomic groups I have worked with include turtles, squamate lizards, birds, mammals, and planktonic foraminifera.
By bridging the fields of statistical modeling, computer science, and evolutionary biology, I aim to deliver a unique and creative perspective towards understanding evolution and the history of life on earth.