Nolan Bonnie
About Nolan Bonnie
Nolan Bonnie is a Center for Cyber Defenders Year-Round Intern at Sandia National Laboratories, specializing in AI techniques for cybersecurity.
Center for Cyber Defenders Year-Round Intern at Sandia National Laboratories
Nolan Bonnie is currently employed as a Center for Cyber Defenders Year-Round Intern at Sandia National Laboratories. His tenure at Sandia National Laboratories commenced in 2020. In this role, he engages in tackling cybersecurity challenges by leveraging artificial intelligence techniques. His work is driven by his research interests in data analytics, machine learning, and artificial intelligence.
LARC Tutorial Leader at UC Irvine
From 2018 to 2020, Nolan Bonnie served as a LARC Tutorial Leader at UC Irvine in Irvine, CA. Over this period, he was responsible for providing tutorial support and mentoring students. His role involved helping students understand complex mathematical concepts, utilizing his strong foundation in mathematics.
Cyber Security R&D Undergraduate Intern at Sandia National Laboratories
In 2018, Nolan Bonnie worked as a Cyber Security R&D Undergraduate Intern at Sandia National Laboratories in Livermore, CA, for a duration of 3 months. During this period, he gained hands-on experience in cybersecurity research and development, which complemented his academic background in data science and mathematics.
Intern at Uni-fab Industries Inc. Sheetmetal, Machining
Nolan Bonnie interned at Uni-fab Industries Inc. Sheetmetal, Machining in Fremont, California, for 2 months in 2017. This internship provided him with industry experience and exposure to practical applications in machining and sheet metal work.
Mathematics Tutor at TutorSync
From 2015 to 2017, Nolan Bonnie worked as a Mathematics Tutor at TutorSync in the San Francisco Bay Area. Over these two years, he aided students in mastering mathematical concepts, thereby solidifying his expertise in mathematics and tutoring skills.
Education at UC Irvine
Nolan Bonnie earned his Bachelor of Science in Mathematics and Data Science from UC Irvine, where he studied from 2017 to 2021. His academic pursuits included in-depth studies in data analytics, machine learning, and artificial intelligence.