Nikola Huang is a Software Engineer at Everlaw since November 2021, following a tenure as a Research Assistant at the University of Arizona from August 2019 to July 2021. During the research role, Nikola Huang improved the theoretical time complexity for Kernel Density Estimation by establishing new upper and lower bounds and optimizing the algorithm's performance using C with a Python wrapper. In addition, Nikola Huang served as a Teaching Assistant for a Database Design course, creating assignments and exams while supporting students with their inquiries. Nikola Huang holds a Master's degree in Computer Science from the University of Arizona, completed in 2021, as well as a Bachelor of Science in Computer Science from the same institution, earned in 2019, and prior studies at the University of Illinois Urbana-Champaign from 2015 to 2017.
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