Michael Nole
About Michael Nole
Michael Nole is the Manager of Applied Systems Analysis & Research at Sandia National Laboratories, with a background in geosystems engineering and extensive experience in research and development.
Current Position at Sandia National Laboratories
Michael Nole is currently the Manager of Applied Systems Analysis & Research at Sandia National Laboratories in Albuquerque, New Mexico. Since 2021, he has been leading a team that focuses on developing open source software for subsurface multiphase flow and reactive transport simulation. His expertise in this role spans across machine learning and physical modeling within geoscience applications, enhancing the laboratory’s capabilities in cutting-edge research.
Previous Roles at Sandia National Laboratories
Before becoming the manager, Michael Nole served as a Senior Member of Technical Staff at Sandia National Laboratories from 2018 to 2021. During these three years, he contributed to various technical projects and research initiatives, laying the foundation for his current leadership role. His work in this position involved significant research and analysis within the applied systems sector.
Academic Background and Research Experience
Michael Nole achieved a Doctor of Philosophy (Ph.D.) in Geosystems Engineering from The University of Texas at Austin, where he also obtained a Master’s Degree in the same field. His academic journey began with a Bachelor of Science (B.S.) in Civil & Environmental Engineering from the University of California, Berkeley. His research during these periods spanned multiple institutions, including roles as a Postdoctoral Researcher and Graduate Student Researcher at The University of Texas at Austin, and as an Undergraduate Researcher at UC Berkeley's Environmental Fluid Mechanics Laboratory.
Industry and Internship Experience
Michael Nole has amassed a wealth of industry experience through various internships. Notably, he served as a Reservoir Engineering Intern at Shell in Houston, Texas, focusing on Innovation, Research, and Development in Unconventional Oil & Gas. Additionally, he completed a Project Engineering Internship at Gas Transmission Systems in Walnut Creek, CA, and held several research assistant roles at UC Berkeley, contributing to projects in econometrics and mode choice analysis.
Technical Skills and Specializations
Michael Nole possesses strong technical skills in programming languages, including Python, FORTRAN, Go, and Matlab. His research has a keen focus on Arctic geosystems modeling and characterization, and he has been exploring the intersections between machine learning and physical modeling specifically for geoscience applications. These competencies enable him to lead sophisticated research initiatives and contribute valuable technological advancements to his field.