We develop and apply methods to learn about evolution and immunology from molecular sequence data. We enjoy all facets of computational biology research, from diving deeply into biological questions, to mathematical and statistical analysis, algorithm development, and efficient algorithm implementation. Our two primary interests right now are:
- How can we efficiently infer Bayesian posteriors on phylogenetic trees?
- How can we learn about immune history, genetics and immunological mechanism using the sequences of adaptive immune receptors (i.e. antibodies and T cell receptors)?
You can hear about these topics in Erick’s March 2020 promotion talk:
Our current logo shows a child riding a robot chicken representing a computer (not very smart, but can run quickly), holding a pencil representing mathematical development. This is what we like doing: using new mathematical approaches to go interesting places in biology using computers. And we like having fun doing it!
This image is commissioned work by Gabi Swiatkowska.
Our previous logo is easier to interpret, but it’s less fun.