Thor Osborn
About Thor Osborn
Thor Osborn is a Principal Systems Research Analyst at Sandia National Laboratories, specializing in predictive stochastic models and data-driven business analytics.
Company
Thor Osborn is currently employed at Sandia National Laboratories. Located in Albuquerque, New Mexico, Sandia National Laboratories is known for its focus on cutting-edge scientific research and technology development. Thor has been contributing to the organization since 2008, bringing extensive expertise in systems research analysis.
Title
Thor Osborn holds the position of Principal Systems Research Analyst at Sandia National Laboratories. In this role, he develops predictive stochastic models to analyze decision spaces for executive leadership, engages with key stakeholders to create data-driven business analytics, and specializes in performing in-depth research and analysis in areas such as human resources, finance, safety, and supply chain.
Education and Expertise
Thor Osborn has an extensive academic background. He earned a Ph.D. in Bioengineering from the University of Washington, completed an M.B.A. from The University of New Mexico - Robert O. Anderson School of Management, and holds a B.S. in Electrical Engineering from Washington State University. His expertise spans across predictive stochastic modeling, data-driven business analytics, and visualization techniques to present insightful findings.
Professional Background
Thor Osborn has a diverse career history. He has held notable positions including Director of SCME, Team Lead, Principal Engineer at Sandia National Laboratories, and Consultant while being self-employed. He was also Director of the Micro-Systems Engineering Center at SRI International, Section Manager at Microvision, Electronics Engineer at Motorola, and Sr. Materials and Processes Engineer at AlliedSignal. These roles have solidified his foundation in engineering and analysis.
Current Focus and Contributions
Since 2008, Thor Osborn has been focusing on integrated holistic perspectives in his analyses at Sandia National Laboratories in the Albuquerque, New Mexico area. His current work involves developing predictive models, engaging with key stakeholders, and presenting findings to leaders to support data-driven decision-making.