Deep Time Biology Lab

Life on planet earth evolved over billions of years. Of all the species produced in that time, 99% are now extinct. A major challenge in biology is to understand how life works when 99% of our data are missing. We are a dynamic research group at Montana State University who aim to meet this challenge by integrating paleontological and biological data using evolutionary models.

We are broadly interested in the macroevolutionary patterns and processes of vertebrate genome biology, physiology, functional morphology, and ecology. Computational modeling allows us to integrate data from fossils with extant species to understand how these systems evolve. With this approach, we can now, in the post-genome era, tackle new questions about genotypes and phenotypes in long-extinct species and their evolution across deep time. Our research seizes this opportunity to study major evolutionary transformations across levels of biological organization, from genes and genomes to morphology and behavior.

We are always looking for new team members with passion, grit, and an interest in smashing academic boundaries. You will have the chance to work on the grand unified theory of biology (evolution) and get training in a wide range of fields, including paleontology and data science. If this sounds interesting, drop an email to Chris.

 

News

April 24, 2024

Thomas LaBarge's paper on terror birds was just released in Proc B!


April 5, 2024

Our paper on Bergmann's rule was just released in Nature Communications!


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