David Page

David Page, PhD, serves as chair of the Department of Biostatistics and Bioinformatics and professor of biostatistics and bioinformatics and computer science at Duke University. He joined Duke in 2019. Dr. Page works on algorithms for data mining and machine learning and their applications to biomedical data. His research focuses on machine learning methods for complex multi-relational data, such as electronic health records, high throughput genetic and molecular data, and irregular temporal data, and methods that find causal relationships and produce human-interpretable output.

Dr. Page co-leads the Duke Discovery AI initiative which unites computational scientists, biologists, and engineers across the university to advance integration of artificial intelligence with biological research at the molecular, cellular, and organism scales. Together they train the next generation of scientists in biological systems and computational methods.

During his 20 years at the University of Wisconsin-Madison, Dr. Page taught courses titled Advanced AI, Machine Learning, Bioinformatics, and Health Informatics, in addition to special topics courses on Statistical Relational Learning and Learning Biological Networks. Dr. Page was a Kellett and Vilas Distinguished Achievement Professor and was Director of the Informatics Core of the Carbone Cancer Center. He served on scientific advisory and leadership committees for the Observational Medical Outcomes Partnership (OMOP), the International Warfarin Pharmacogenetics Consortium (IWPC), the Wisconsin Genomics Initiative, and UW-Madison's Institute for Clinical & Translational Science. Dr. Page received his PhD in computer science from the University of Illinois at Urbana-Champaign, where his dissertation focused on theoretical aspects of machine learning. He first became involved in biomedical applications of machine learning during his post-doc working with Dr. Stephen Muggleton at Oxford University.