J Darby Smith
About J Darby Smith
J Darby Smith is a Senior Member Of Technical Staff at Sandia National Laboratories, specializing in the analysis of stochastic systems and cognitive computing.
Title at Sandia National Laboratories
J Darby Smith is currently a Senior Member of Technical Staff at Sandia National Laboratories, having held this position since 2020. Smith's role involves significant technical responsibilities, leveraging extensive expertise in stochastics, mathematical modeling, and simulations to address complex challenges in various research projects.
Previous Role as Postdoctoral Researcher
Before becoming a Senior Member of Technical Staff, J Darby Smith served as a Postdoctoral Researcher at Sandia National Laboratories from 2019 to 2020. During this period, Smith was based in the Albuquerque, New Mexico area, where the focus was on advanced research and development in technical domains, contributing to several key initiatives.
Experience as Graduate Teaching Assistant at University of Florida
Between 2014 and 2019, J Darby Smith worked as a Graduate Teaching Assistant at the University of Florida in Gainesville. In this role, Smith was responsible for instructional duties in mathematics, assisting in the preparation and delivery of coursework, and supporting student learning and academic development.
Educational Background and Qualifications
J Darby Smith holds a Doctor of Philosophy (Ph.D.) in Mathematics, earned from the University of Florida where Smith studied from 2015 to 2019. Prior to that, Smith obtained a Master of Science (M.S.) in Mathematics and Operations Research from the College of Charleston in 2012, after completing a Bachelor of Science and Bachelor of Arts in Physics and Mathematics at Wofford College from 2007 to 2011.
Research and Specialization
Smith's expertise lies in the analysis of stochastic systems, the research is centered on understanding and predicting the behavior of systems impacted by random variables. Additionally, Smith is engaged in cognitive and emerging computing research, focusing on innovative computational methods and technologies. This interdisciplinary approach combines knowledge from both mathematics and physics to solve technical problems effectively.