Keenan Eves
About Keenan Eves
Keenan Eves is a Data Scientist with experience in machine learning for materials development and additive manufacturing. He has worked at Lawrence Livermore National Laboratory and Brigham Young University, holding degrees in Mechanical Engineering.
Current Role at Lawrence Livermore National Laboratory
Keenan Eves currently serves as a Data Scientist at Lawrence Livermore National Laboratory, a position he has held since 2022. In this role, he collaborates with project stakeholders to identify problems and develop machine learning approaches specifically for materials development and additive manufacturing applications. His expertise in data science contributes to advancing research and innovative solutions within the laboratory.
Previous Experience at Lawrence Livermore National Laboratory
Before his current role, Keenan Eves worked as a Mechanical Engineer at Lawrence Livermore National Laboratory from 2018 to 2022. During this four-year tenure, he gained valuable experience in engineering practices and contributed to various projects that supported the laboratory's mission.
Research Assistant Experience at Brigham Young University
Keenan Eves served as a Research Assistant at Brigham Young University from 2014 to 2018. This four-year role allowed him to engage in research activities that complemented his academic studies and provided practical experience in the field of mechanical engineering.
Educational Background in Mechanical Engineering
Keenan Eves completed his Bachelor of Science in Mechanical Engineering at Brigham Young University from 2010 to 2016. He furthered his education by obtaining a Master of Science in the same field from 2016 to 2018. His academic background laid a strong foundation for his subsequent career in engineering and data science.
Language Proficiency and Coding Advocacy
Keenan Eves is fluent in English and Spanish and is currently learning Mandarin. He advocates for good coding practices within his team, which consists of six members. His leadership in promoting robust and flexible code design enhances the team's ability to adapt to multiple environments.