Phil Hedrick is a population geneticist and conservation biologist who studies genetic variation in populations, including how genetics can impact the survival of rare and endangered species.

Gerkin investigates how smell perception, learning and behavior are represented in the brain. He also pursues neuroinformatics, development of tools and standards to facilitate analysis of neuroscience models and data.

Ruben Acuña is a software engineering Assistant Teaching Professor in the School of Computing and Augmented Intelligence. His background is primarily in algorithm design, compilers (static and dynamic analysis), and bioinformatics.

Dr. Bussey is a cancer cytogeneticist and applied bioinformatician developing tools to help oncologists fully integrate genomics into their current medical data streams to realize the promise of precision medicine.

Dr. Liu investigates clinical and molecular signatures of human diseases, and develops novel computational methods to discover biomarkers for early diagnosis and accurate prediction of therapeutic responses for individuals.

PhD student in evolutionary biology in the Center for Evolution and Medicine. Designing algorithms that produce biologically meaningful results is critical to ensuring the success of in silico approaches.

Sterner uses methods from philosophy and social science to investigate how knowledge systems can better address wicked problems. His current projects focus on biodiversity data, modeling, governance, and philosophy.

Buetow is a human genetics and genomics researcher who leverages computational tools to understand complex traits such as cancer, liver disease, and obesity.