Casey Greene, PhD, is Professor in and Chair of the Department of Biomedical Informatics at the University of Colorado Anschutz. His work sits at the intersection of machine learning, genomics, and research infrastructure, with a focus on developing methods and tools that enable scientists to learn from large, complex biomedical datasets and then share those results in a way that others can reuse. Casey is also a long-time advocate and practitioner of open research. He helped lead a collaborative review of deep learning in biomedicine, which was written on GitHub, inviting community contributions and making the full authoring process transparent. He has also contributed to the broader open-science ecosystem through work on Manubot and open scholarly writing workflows, helping make it easier for groups to draft, review, and publish research in the open. He also serves as the Director of the Colorado Center for Personalized Medicine (CCPM). In this role, he leads a team focused on understanding how to bring complex data to the point of care. CCPM has one of the largest return-of-results programs in the country, having returned more than one million discrete genetic elements to more than 100,000 participants.