Jeremy Semko is a Senior Software Engineer specializing in Machine Learning at Google, where they apply state-of-the-art methods in their current role. They have previously worked as a Research Scientist at KnuEdge, developing algorithms for speaker verification, and at Amobee, optimizing machine learning techniques for real-time bidding environments. Jeremy's academic background includes a Ph.D. and Master's degree in Mathematics from the University of California, San Diego, and a B.S. in Mathematics and Economics from Duke University. During their time at UCSD, they served as an Associate Instructor and contributed to research on controlled rough paths under Professor Bruce Driver.
Location
Sunnyvale, United States
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