Brian Sanderson, Ph.D.

Associate Computational Scientist

Integrating multimodal data to better understand the map between genotypes, phenotypes, and fitness.

As a quantitative geneticist I am motivated to understand the translation of genetic variation into complex phenotypes, and the rapidly developing capacity in our field to interrogate the genetic and transcriptomic content of cells has allowed us to generate great insight into this process. In my work at The Jackson Laboratory I am focused on basic and translational cancer research using patient-derived xenograft models, as well as the development of computational methods and curated data resources required for integrative research.

Brian Sanderson on ORCID

Education and experience


University of Virginia
Ph.D., biology
Advised by Dr. Edmund D. Brodie III

University of Kansas
B.S., genetics
Advised by Dr. Jennifer Gleason


Computational Sciences, The Jackson Laboratory
Assistant Computational Scientist

Department of Biology, West Virginia University
Research Assistant Professor

Department of Botany and Plant Pathology, Purdue University
Postdoctoral Researcher, advised by Dr. Chris Oakley

Department of Biological Sciences, Texas Tech University
Postdoctoral Researcher, advised by Dr. Matthew Olson