Jim Gansemer
About Jim Gansemer
Jim Gansemer serves as the Deputy Division Leader for Computational Engineering at Lawrence Livermore National Laboratory, where he has worked since 2003. He possesses expertise in agent-based and discrete-event simulation and has a strong background in technical and personnel management.
Work at Lawrence Livermore National Laboratory
Jim Gansemer has been a key member of Lawrence Livermore National Laboratory since 2003. He currently holds multiple roles, including Program Manager, Deputy Section Leader for Systems and Intelligence Analysis, and Deputy Division Leader for Computational Engineering. His tenure at the laboratory spans over 21 years, during which he has contributed to various projects and initiatives in computational engineering. His responsibilities include overseeing technical operations and managing personnel within his divisions.
Education and Expertise
Jim Gansemer studied at the University of Illinois Urbana-Champaign from 1986 to 1990, where he developed a strong foundation in engineering principles. He furthered his education at the University of California Berkeley from 1990 to 1991. Gansemer possesses technical expertise in agent-based and discrete-event simulation, with a focus on computational engineering. His areas of specialization include optimization, decision analysis, statistics, machine learning, and simulation.
Background
Jim Gansemer has an extensive background in both technical and personnel management. His experience in managing teams and projects has been instrumental in his roles at Lawrence Livermore National Laboratory. Gansemer's career reflects a commitment to advancing computational engineering and applying innovative solutions to complex problems.
Achievements
Throughout his career at Lawrence Livermore National Laboratory, Jim Gansemer has played a significant role in advancing the field of computational engineering. His leadership in various capacities has contributed to the laboratory's mission and objectives. Gansemer's work in systems and intelligence analysis has also enhanced the laboratory's capabilities in simulation and decision-making processes.