We develop software tools for genomic data analysis using a combination of biological, statistical, and engineering approaches to accurately detect and interpret inherited and somatic genetic variants. We focus on developing easy-to-use, web-based, visually-driven, interactive and real-time software tools for intuitive analysis of genomic data. Our overall goal is to develop and apply software to better the care and outcomes of patients.
We collaborate with medical geneticists and clinicians across a broad spectrum of human diseases, investigating the genetic etiology of these diseases and potential therapeutic opportunities.
We build and apply methods and visualizations for comprehensive profiling of tumors and their clonal structure across disease progression and therapeutic interventions to directly impact the patient's care.
Building on our lab's previous work, we continue to develop computational algorithms for variant discovery, including the accurate detection of germline de novo and somatic cancer variants.
Our software development approach prioritizes intuitive and interactive visual presentations of complex genomic data, making our software broadly accessible, regardless of computational expertise.
Some of our recent and featured publications are shown below, but you can find all of our publications on PubMed and Google Scholar
We are always looking for talented and motivated people to join
our team!
We are currently looking for post-docs with an
emphasis in biostatistics and mathematics, as well as graduate
students through the
Utah Bioscience PhD
and
MD/PhD programs.
Email us
or check our current
job postings!
Our lab is part of the Utah Center for Genetic Discovery (UCGD) and the Department of Human Genetics at the University of Utah