At Duke, we use data to solve many real-world problems, with an emphasis on problems that impact social good. This includes work in healthcare, criminal justice, fake news, and in other areas. Duke is particularly strong in methodology related to data science, including model interpretability, data privacy, causal inference, and computer vision. Much of this research spans multiple disciplines and is collaborative in nature. In particular, we collaborate with researchers in statistics, mathematics, electrical and computer engineering, economics, public policy, law, biology, medicine, and more.
- RJR Nabisco Distinguished Professor of Computer Science in Trinity College of Arts and Sciences
- Assistant Professor of Biostatistics & BioinformaticsAssistant Professor of Computer Science (Joint)
- Assistant Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science
- Assistant Professor of Computer Science
- Anderson-Rupp Professor of Biomedical Engineering
- Professor of Computer Science
- Associate Professor of Biostatistics & Bioinformatics
- Arthur S. Pearse Distinguished Professor of Computer ScienceProfessor of Biostatistics & Bioinformatics, Professor of Electrical and Computer Engineering (Joint)
- Associate Professor of Computer Science
- Gilbert, Louis, and Edward Lehrman Distinguished ProfessorProfessor of Electrical and Computer Engineering, Professor of Statistical Science, Professor of Biostatistics and Bioinformatics (Joint)
- Assistant Research Professor of Computer Science
- Associate Professor of Statistical Science
- Assistant Professor of Biostatistics & Bioinformatics
- Knut Schmidt Nielsen Distinguished Professor of Computer Science
- Eugene Anson Stead, Jr. M.D. Associate ProfessorAssociate Professor of Biostatistics & Bioinformatics and Associate Professor of Computer Science
