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    Aaron Schild

    Research Scientist at Google

    Aaron Schild is a dedicated algorithm researcher focusing on developing faster algorithms for various fields such as machine learning, complex networks, data mining, parallel processing, online ad placement, and more.

    With a strong background in theoretical computer science, Aaron pursued his Doctor of Philosophy (PhD) in Theoretical Computer Science from the EECS Department at the University of California, Berkeley, under the supervision of Satish Rao and Nikhil Srivastava.

    He also holds a Bachelor of Arts (B.A.) in Mathematics from Princeton University and completed his college preparatory and advanced high school education at The Bishop's School.

    Aaron has a wealth of industry experience having worked as a Research Scientist at Google, AI Engineer at Genesis Therapeutics, Postdoctoral Research Associate at the Paul G. Allen School of Computer Science & Engineering, and in various software engineering and research intern roles at Google, Apple, Brown University, and Los Alamos National Laboratory.

    His contributions have significantly impacted fields like machine learning, real-time maps, and online search, leading to enhanced solutions in these areas. For more details on his work and publications, visit his website at https://aschild.github.io/.

    Aaron Schild
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    Location

    San Francisco, California, United States