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Published on Dec 20, 2016
"Automatically Improving Automation Using Big Data" Yisong Yue, Assistant Professor of Computing and Mathematical Sciences, is director of Decision, Optimization, and Learning at the California Institute of Technology (DOLCIT), which brings together experts in machine learning, optimization, applied math, statistics, control, robotics, and human-computer interaction. Its goal is to work on creating a world where intelligent systems seamlessly integrate learning and planning, as well as automatically balance computational and statistical tradeoffs in the underlying optimization problems. Yue was previously a research scientist at Disney Research and before that, he was a postdoctoral researcher in the Machine Learning Department and the iLab at Carnegie Mellon University.
The Caltech Alumni Association held a day-long event to explore the ways in which computational thinking at Caltech is disrupting science and engineering, creating entirely new disciplines with "CS+X". From developing new paradigms for computation—quantum computing and DNA computing—to pushing the boundaries of machine learning and statistics in ways that transform fields like astronomy, chemistry, neuroscience, and biology, Caltech faculty are pioneering new disciplines at the interface of computer science, and science and engineering.