Jacob Pettit
About Jacob Pettit
Jacob Pettit is a Machine Learning Researcher at Lawrence Livermore National Laboratory, where he has worked since 2019. He focuses on applying machine learning to areas such as autonomous vehicles and drug design, with the goal of creating positive societal impacts.
Work at Lawrence Livermore National Laboratory
Jacob Pettit has been employed at Lawrence Livermore National Laboratory since 2019, serving as a Machine Learning Researcher. In this role, he focuses on the application of machine learning techniques to various domains, including autonomous vehicles and machine learning-enabled drug design. His work aims to leverage advanced computational methods to address complex challenges and contribute to innovative solutions.
Career Goals in Machine Learning
Jacob Pettit has a career goal centered on improving the world through machine learning applications. He is committed to utilizing his expertise to create positive societal impacts. His focus on applying machine learning in critical areas such as autonomous vehicles and drug design reflects his dedication to advancing technology for the benefit of society.
Education and Expertise
Jacob Pettit studied at Florida State University, where he earned a Bachelor of Science degree in Computational Science from 2015 to 2019. His educational background provides a strong foundation in computational methods and machine learning, equipping him with the skills necessary for his current research role.
Previous Experience as Computational Engineering Intern
Prior to his current position, Jacob Pettit worked as a Computational Engineering Intern at Lawrence Livermore National Laboratory for four months in 2019. This internship provided him with practical experience in computational engineering, further enhancing his understanding of machine learning applications in research settings.