Assistant Professor in Computer Science
Contact & Office Hours
Ford Hall 355
Ph.D., University of California, Berkeley
B.S., Massachusetts Institute of Technology
Sara Mathieson’s research focuses on computational biology, with an emphasis on developing scalable methods for new forms of genetic data. She has worked on algorithms for inferring evolutionary events, such as population size changes and natural selection. These methods have mainly been applied to humans, fruit flies and polar bears. Her current work focuses on combining biological modeling techniques with machine learning to create sophisticated frameworks for quantifying complex events. She is also interested in developing methods that make optimal use of limited or low-quality DNA data, such as from species that have not been well studied.