Ruslan Salakhutdinov

Ruslan Salakhutdinov is a UPMC Professor of Computer Science in the Machine Learning Department at Carnegie Mellon University's School of Computer Science. His research focuses on statistical machine learning, deep learning, probabilistic graphical models, and large-scale optimization. He is known for foundational contributions to deep learning, including work on dropout, deep Boltzmann machines, and probabilistic matrix factorization, and has held prior faculty positions at the University of Toronto and a postdoctoral appointment at MIT.