Interpretable Machine Learning Lab
Duke University · Department of Computer Science
This lab is still preparing its profile
Here's what we know so far. A fuller introduction is on the way.
- Department
- Department of Computer Science
- Professor
- Cynthia D. Rudin
Graduate application deadlines
Department of Computer Science
Ph.D. in Computer Science
Fall 2027Application deadline
Dec 15, 2026
M.S. in Computer Science
Fall 2027Application deadline
Feb 1, 2027
Considering this lab for grad school?
Save it to compare side by side with other labs. Jot a one-line note under each paper below — Application prep gathers your notes into an outline for your email to the PI and your statement of purpose. You do the writing; no AI.
What to prepare before emailing a PILabs doing related research
Labs that recently published on topics this lab's recent papers share
Julian McAuley Lab
University of California, San Diego · Department of Computer Science and Engineering
How Hard Does It Think? Analyzing Step-Aware Reasoning Energy in LLM Chain-of-Thought TrajectoriesPreprintarXiv (Cornell University) · Jul 28Shared topic: Explainable Artificial Intelligence (XAI)
Sanmi Koyejo Lab
Stanford University · Computer Science
The AI Evaluation EcosystemPreprintarXiv (Cornell University) · Oct 7Shared topic: Ethics and Social Impacts of AI
Randall Balestriero Lab
Brown University · Computer Science
AnyGoal: On World Model Generalization Beyond Expert RolloutsPreprintarXiv (Cornell University) · Oct 19Shared topic: Reinforcement Learning in Robotics
Other labs in this department
- Bartesaghi Lab
Alberto Bartesaghi
single-particle cryo-electron microscopy, cryo-electron tomography, sub-volume averaging
- Alexander J. Hartemink Lab
Computational biology, machine learning, Bayesian statistics, transcriptional regulation, genomics and epigenomics, graphical models, Bayesian networks, hidden Markov models, systems biology, computational neurobiology, classification, feature selection
- Anru Zhang Lab
- Benjamin Rossman Lab
computational complexity and logic, circuit complexity, finite model theory
- Bhuwan Dhingra Lab
natural language processing (NLP), machine learning and knowledge representation
- Bruce Randall Donald Lab