Cynthia Rudin
Cynthia Rudin | |
|---|---|
Rudin in 2020 | |
| Born | 1976 (age 49–50) |
| Education | University at Buffalo Princeton University (PhD) |
| Scientific career | |
| Institutions | Duke University |
| Thesis | Boosting, Margin and Dynamics |
| Doctoral advisors | Robert Schapire Ingrid Daubechies |
Cynthia Diane Rudin (born 1976) is an American computer scientist and statistician specializing in machine learning and known for her work in interpretable machine learning. She is the director of the Interpretable Machine Learning Lab at Duke University, where she is a professor of computer science, electrical and computer engineering, statistical science, and biostatistics and bioinformatics. In 2022, she won the Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity from the Association for the Advancement of Artificial Intelligence (AAAI) for her work on the importance of transparency for AI systems in high-risk domains. In addition, she was elected as a fellow of the American Association for the Advancement of Science (AAAS) in 2024, in recognition of her research in machine learning.