Brandon Lites

Brandon Lites

Computer Scientist @ Sandia National Labs

About Brandon Lites

Brandon Lites is a Computer Scientist at Sandia National Laboratories, specializing in cybersecurity, blockchain, and data analysis. He holds a Master of Science and a Bachelor of Science in Computer Science from the University of New Mexico.

Current Position at Sandia National Laboratories

Brandon Lites currently holds the title of Computer Scientist at Sandia National Laboratories. He has been with the organization since 2014. His responsibilities include contributing to cybersecurity analysis and training initiatives, engaging in software engineering and development projects focused on nuclear nonproliferation, and specializing in data mining, aggregation, and analysis.

Past Experience at University of New Mexico

Brandon Lites has experience working at the University of New Mexico as an Advanced Student Consultant from 2012 to 2014. During his tenure, he served the Albuquerque, New Mexico Area. This role marked a significant period in his early career, helping him build foundational skills in computing and consultancy.

Internship at Sandia National Laboratories

Before his current role, Brandon Lites interned at Sandia National Laboratories as a Technical Student Intern from 2009 to 2010. This early exposure to the technical environment of the national labs in Albuquerque, New Mexico, provided him with practical experience that laid the groundwork for his future contributions in the field of computer science and cybersecurity.

Educational Background from the University of New Mexico

Brandon Lites achieved both his Bachelor of Science and Master of Science degrees in Computer Science from the University of New Mexico School of Engineering. He completed his Bachelor's degree over the span of five years from 2009 to 2014 and subsequently earned his Master's degree in just a year, from 2015 to 2016. His educational background provided a strong foundation for his specialized work in areas such as cybersecurity, blockchain, and data analysis.

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