Daniel Gardner
About Daniel Gardner
Daniel Gardner is a Group Leader at Lawrence Livermore National Laboratory, where he has worked since 2021. He has extensive experience in software engineering and project management, with a background in both traditional and NoSQL databases, as well as containerization technologies.
Work at Lawrence Livermore National Laboratory
Daniel Gardner has been employed at Lawrence Livermore National Laboratory (LLNL) since 2014, holding various roles. He currently serves as a Group Leader, a position he has held since 2021. In this capacity, he manages a team of 12 software engineers and data scientists, overseeing performance, career mentoring, and hiring. Prior to this role, he worked as a Software Engineer from 2014 to 2016 and as a Deep Learning Research Scientist from 2019 to 2021. Additionally, he has served as a Project Lead and Software Engineering Manager since 2016, focusing on developing APIs and web applications for data sharing across Department of Energy labs.
Education and Expertise
Daniel Gardner has a strong educational background in engineering and computer science. He earned a Bachelor of Science in Computer Engineering from Brigham Young University and a Master of Science in Electrical Engineering from Stanford University. His expertise includes traditional SQL and NoSQL databases, containerization with Docker, and machine learning. Gardner has a keen interest in natural language processing and actively consults on machine learning projects for national security partners at LLNL.
Background
Before joining LLNL, Daniel Gardner held leadership and research roles at Brigham Young University. He was the President of the Engineering & Technology Leadership Council from 2013 to 2014 and worked as an MRI Research Assistant during the same period. In 2014, he completed a Design Engineer Internship at Marvell Semiconductor in the San Francisco Bay Area. His diverse experiences have contributed to his comprehensive skill set in software engineering and project management.
Achievements
Throughout his career, Daniel Gardner has contributed to various projects at Lawrence Livermore National Laboratory, particularly in software project management and team leadership. He leads initiatives that involve building APIs and web applications to facilitate data sharing and archival among Department of Energy labs. His role in consulting on machine learning projects for national security partners further underscores his impact in the field.