Scholar
Cynthia Rudin
Google Scholar ID: mezKJyoAAAAJ
Professor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke University
Citations & Impact
Citations
28,566
H-index
56
i10-index
131
Publications
20
Co-authors
178
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Published papers at NeurIPS 2022, KDD 2017, NeurIPS 2019, ICML 2020, AAAI 2022.
- - PaCMAP algorithm won two software awards from the American Statistical Association.
- - Work on optimal scoring systems won the 2019 INFORMS Innovative Applications in Analytics Award.
- - Maintenance of an underground electrical distribution network won the 2013 INFORMS Innovative Applications in Analytics Award.
- - Solved a well-known theoretical problem in machine learning and earned a prize for solving a COLT open problem.
- - Delivered invited and keynote talks at INFORMS, KDD, SDM, AISTATS, ECML-PKDD, and other venues.
- - Teams have won awards in several data science competitions, including the ASA Data Challenge Expo in 2022.
Research Experience
- - Developed practical code for sparse models such as decision lists, decision trees, and additive models.
- - Introduced the Rashomon Set paradigm, allowing users to choose among many good models.
- - Developed theory for why simpler models often perform well.
- - PaCMAP algorithm is widely used in bioinformatics, biology, and ecology.
- - Optimal scoring systems (sparse linear models with integer coefficients) applied to healthcare and criminal justice.
- - Led a team using machine learning to maintain an underground electrical distribution network.
- - Developed methods for detecting crime series in cities.
Background
- Gilbert, Louis, and Edward Lehrman Distinguished Professor of Computer Science; Departments of Computer Science, Electrical and Computer Engineering, Statistical Science, Mathematics, and Biostatistics & Bioinformatics at Duke University; PI, Interpretable Machine Learning Lab; Research focuses on interpretable machine learning and its applications.
Miscellany
- Enjoys competing in data science competitions and coaching student teams.
