Associate Professor, Computer Science & Engineering
- Ph.D. Computational Neuroscience, University College London, 2003
- B.S. Physics, California Institute of Technology, 1997
Sham Kakade joins the University of Washington this fall with a joint position in Computer Science & Engineering and Statistics. He was most recently a principal research scientist at Microsoft Research. Prior to Microsoft, Sham held faculty positions at the University of Pennsylvania and the Toyota Technological Institute in Chicago.
Sham researches artificial intelligence, statistical machine learning and signal processing, developing methods of teaching computers to make predictions based on data collection and computation time. Sham is interested in applying scalable and efficient algorithms to solve core scientific and economic problems involving complex data mining. He explores artificial neural networks that process sight and sound like the human brain and studies how machine learning intersects with neuroscience and computational biology.