David Rimel
About David Rimel
David Rimel is a Machine Learning Engineer at Cognitive Space, where he develops advanced models for satellite constellation scheduling and operations. He has a strong background in engineering physics and computational mathematics, with experience in various roles including data analysis and computational modeling.
Work at Cognitive Space
David Rimel currently serves as a Machine Learning Engineer at Cognitive Space, a position he has held since 2023. In this role, he has developed advanced models and algorithmic improvements specifically for satellite constellation scheduling and operations. Additionally, he has engineered internal developer tools to streamline workflows and enhance team efficiency.
Education and Expertise
David Rimel earned a Bachelor of Engineering in Engineering Physics/Applied Physics from the University of Colorado Boulder, completing his studies from 2013 to 2016. He further advanced his education by obtaining a Master of Science in Computational Mathematics, Science, and Engineering from Michigan State University between 2018 and 2020. His academic background provides him with a robust foundation in advanced mathematical theory and computational modeling.
Background
David Rimel has a diverse professional background in various roles related to data analysis and engineering. He worked as a Research Assistant at the University of Colorado Boulder from 2015 to 2016 and as a Data Analyst at the Laboratory for Atmospheric and Space Physics from 2014 to 2015. He also held positions at Tech-X Corporation as a Computational Photonics Engineer and at Mercury Data Science as a Data Scientist before joining Cognitive Space.
Technical Skills
David Rimel is proficient in several programming languages, including Python, C/C++, and Julia. He is experienced with scientific packages such as OpenMP, OpenMPI, CUDA, NumPy, Scikit-learn, Pandas, and SciPy. His technical skill set supports his work in physics-informed machine learning, plasma physics, photonics, and computational fluid dynamics.
Research and Teaching Experience
In addition to his engineering roles, David Rimel has experience in academia. He served as a Teaching Assistant at Michigan State University in 2020 and worked as a Graduate Research Assistant from 2018 to 2020. His research activities involved tackling computational modeling problems across various domains, contributing to his expertise in the field.