Dr. Abu-Mostafa is a Professor of Electrical Engineering and Computer Science at the California Institute of Technology. His main fields of expertise are machine learning and computational finance. He is the co-author of Amazon's machine learning bestseller Learning From Data.
Dr. Abu-Mostafa received the Clauser Prize for the most original doctoral thesis at Caltech. He won various Caltech and national teaching awards, including the Feynman Prize in 1996. He is the co-founder of the Neural Information Processing Systems (NIPS) annual conference, the top international conference on machine learning. He chaired a number of conferences on applying machine learning to finance, including Computational Finance (CF-99). In 2005, the Hertz Foundation established a perpetual graduate fellowship named the Abu-Mostafa Fellowship in his honor.
Dr. Abu-Mostafa currently serves on a number of scientific advisory boards, and has served as a technical consultant on machine learning for several companies, including Citibank for 9 years. He has numerous technical publications including 3 articles in Scientific American, as well as several keynote lectures at international conferences.
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