Daniel Laney
About Daniel Laney
Daniel Laney serves as the Workflow Project Leader and Computer Scientist at Lawrence Livermore National Laboratory, where he has worked since 2002. He holds a Ph.D. in Engineering - Applied Science from the University of California, Davis, and a B.S. in Physics from UC Santa Barbara.
Work at Lawrence Livermore National Laboratory
Daniel Laney has been employed at Lawrence Livermore National Laboratory since 2002. He has held the position of Computer Scientist for 22 years, contributing to various projects and initiatives within the laboratory. In 2015, he took on the additional role of Workflow Project Leader, where he focuses on optimizing and managing workflows to enhance project efficiency and effectiveness.
Education and Expertise
Daniel Laney earned his Ph.D. in Engineering - Applied Science from the University of California, Davis, where he studied from 1996 to 2002. Prior to that, he obtained a Bachelor of Science degree in Physics from UC Santa Barbara, studying from 1994 to 1996. His educational background provides a strong foundation in both engineering and scientific principles, which he applies in his roles at Lawrence Livermore National Laboratory.
Background
Daniel Laney has a robust academic and professional background in engineering and computer science. His journey began with a focus on physics, which he pursued at UC Santa Barbara. He later transitioned to applied science, culminating in a Ph.D. from UC Davis. His extensive experience at Lawrence Livermore National Laboratory has allowed him to develop specialized skills in workflow management and computer science.
Professional Experience
With over two decades of experience at Lawrence Livermore National Laboratory, Daniel Laney has developed expertise in workflow management and computer science. His dual roles as Computer Scientist and Workflow Project Leader demonstrate his ability to integrate technical knowledge with project management skills. His long tenure at the laboratory reflects his commitment to advancing research and operational efficiency.