There is extensive, cross-departmental machine learning research going on at Duke University. Our faculty and students currently have projects that include graphical models, nonparametric Bayesian modeling, reinforcement learning, sparse approximation, compressive sensing, and manifold learning. Application areas include systems biology, fault detection, imaging, structural biology, genetics, cognitive science, and robotics. Find out more
Machine learning blog
Peter Orbanz visiting Friday, February 15th
Professor Peter Orbanz from Columbia University is visiting Duke and giving the DSS Friday Seminar on Friday, February 15th. His work and interests are in representation problems and latent variable algorithms in Bayesian nonparametrics, and, more generally, in the mathematics behind machine learning.
Sridhar Mahadevan visiting Friday, December 14th
On December 14th, 2012, Sridhar Mahadevan, professor in the Department of Computer Science at the University of Massachusetts, Amherst, is visiting Duke's Computer Science Department. He will give a talk entitled: "Nonlinear transfer learning across high-dimensional datasets" at 1pm in D344 LSRC. Additional details here.
Biostatistics & Bioinformatics Faculty Position in Computational Biology
The Center for Human Genetics (CHG) and the Sarah W. Stedman Nutrition and Metabolism Center at Duke University is seeking candidates for an available faculty position at the Assistant Professor level. The academic home for this position will be in the Department of Biostatistics & Bioinformatics (B&B) at Duke…
ECE Faculty Position in Information Theory
Come join the Duke Faculty! The Department of Electrical and Computer Engineering at Duke University invites applications for tenure-track faculty appointments at all levels. For 2013, the Department is actively seeking applications in the area of information theory. Applications received by 15 January 2013 will receive full consideration. Full…
