Research Interests
I am an Associate Professor of Biomedical Informatics at the University of Colorado Anschutz; my work focuses on the critical challenge of developing the socio-technical foundations needed to realize the promise of artificial intelligence in biomedical sciences. My expertise includes genomics, biocuration, knowledge representation, and data harmonization. I lead the NIH-funded Bridge to Artificial Intelligence (Bridge2AI)’s teams focused on Standards, Practices, and Quality Assessment, as well as Teaming and Collaboration. I also co-lead the Clinical and Phenotypic Data Capture Workstream in the Global Alliance for Genomics and Health, responsible for developing standards and tools to help the genomics community utilize phenotypic, clinical, and family health history information to improve human health.
AI offers an unprecedented opportunity to uncover new insights in complex biomedical data. One of the biggest risks to achieving this is misunderstanding the most critical component: the data itself. While we rightly focus on the potential of new AI technologies, we often overlook that data sets alone are not ground truths. To build trustworthy AI, we must first establish trustworthy data. My work centers on defining the character of the data. Motivated by years of experience using comparative genomics to advance our understanding of human health and disease, I seek to leverage my expertise under the light of artificial intelligence to improve socio-technical practices, foster research communities, and encourage participation from all professional backgrounds in genomics and biomedical informatics.