Distinguished Fellow
Charles Elkan, an adjunct professor at the University of California, San Diego (UCSD), was previously a managing director and the global head of machine learning at Goldman Sachs in New York. Before that, he was the first Amazon Fellow and led Amazon's central machine learning team in the US. Charles was also a professor of computer science at UCSD for many years, with leaves that included being a visiting associate professor at Harvard. His research has primarily focused on machine learning, data science, and computational biology, with the MEME algorithm he developed being used in over 4,000 published research projects in biology.
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