William Lassman
About William Lassman
William Lassman is a Postdoctoral Researcher at Lawrence Livermore National Laboratory, specializing in meteorological downscaling techniques and the intersection of atmospheric processes and renewable energy. He applies advanced computational methods to study wildfire dynamics and enhance atmospheric modeling accuracy.
Work at Lawrence Livermore National Laboratory
William Lassman has been serving as a Postdoctoral Researcher at Lawrence Livermore National Laboratory since 2020. His work primarily involves meteorological downscaling techniques that enhance high-fidelity atmospheric simulations. He focuses on the intersection of atmospheric processes and renewable energy, particularly in the context of wind energy. His research contributes to the understanding of how atmospheric dynamics can be modeled to improve renewable energy applications.
Education and Expertise
William Lassman holds a Doctor of Philosophy (PhD) in Atmospheric Science from Colorado State University, where he studied from 2016 to 2019. He also earned a Master of Science (MS) in Atmospheric Science from the same institution between 2014 and 2016. Prior to that, he completed a Bachelor of Science (BS) in Chemical Engineering, Applied Math, and Physics at Northwestern University from 2009 to 2014. Additionally, he participated in a Visiting Student Program at The University of Edinburgh in 2012.
Background
Before his current role, William Lassman gained diverse research experience. He worked as a Graduate Research Assistant in Atmospheric Science at Colorado State University from 2014 to 2020. He also held positions at North Carolina Agricultural and Technical State University and INRA French National Institute for Agricultural Research, where he was a Chateaubriand Fellowship Visiting Doctoral Student in 2019. His early career included a role as a Cooperative Education Student Employee at S&C Electric Company.
Research Focus and Techniques
William Lassman's research specializes in meteorological downscaling techniques, which are essential for creating high-resolution atmospheric simulations. He applies advanced computational methods and high-performance computing to study atmospheric dynamics, particularly in relation to wildfires. His focus on renewable energy, especially wind energy, integrates atmospheric processes with energy production, aiming to enhance the accuracy of atmospheric modeling.