Yan Chen
About Yan Chen
Yan Chen is an HPC Engineer at Rescale in San Francisco, California, where he has worked since 2019. He holds a Ph.D. in Mechanical Engineering with a focus on Computational Fluid Dynamics from the University of Louisville and has extensive experience in numerical simulation and data analysis.
Work at Rescale
Yan Chen has been employed as an HPC Engineer at Rescale since 2019. In this role, he focuses on high-performance computing solutions, contributing to the company's efforts in providing cloud-based simulation and modeling services. His work involves utilizing advanced computational techniques to enhance performance and efficiency in various engineering applications. Rescale is known for its innovative approach to cloud computing in engineering, and Chen's expertise supports the company's mission in this field.
Education and Expertise
Yan Chen holds a Doctor of Philosophy (Ph.D.) in Mechanical Engineering with a specialization in Computational Fluid Dynamics from the University of Louisville, which he completed in 2018. He also earned a Master of Science in Mechanical Engineering from the same institution in 2011. Prior to his advanced degrees, he obtained a Bachelor of Engineering in Environmental and Municipal Engineering from the North China Institute of Water Conservancy and Electric Power, graduating in 2009. His educational background provides a strong foundation in engineering principles and computational methods.
Background
Before joining Rescale, Yan Chen gained diverse experience in various engineering roles. He worked as a CFD Research Assistant at the University of Louisville from 2010 to 2017, where he was involved in research within the Computational Thermo-Fluids Lab. He also served as a Mechanical Engineer at KaVo Kerr for seven months in 2017 and completed an internship at Apple from 2018 to 2019. This combination of academic and practical experience has equipped him with a broad skill set in engineering and computational analysis.
Technical Skills
Yan Chen is proficient in a variety of modeling tools and programming languages. He has expertise in using software such as Gambit, ANSYS, Fluent, and OpenFOAM for numerical simulations in fluid mechanics and heat transfer. His coding skills include languages like FORTRAN, C/C++, SAS, and Python. Additionally, he is experienced in data analysis using tools such as Matlab and Excel, and he has a strong background in optimization processes, including Design of Experiments (DOE) and genetic algorithms.
Professional Experience
Throughout his career, Yan Chen has accumulated significant experience in engineering and computational research. His role as a CFD Research Assistant at the University of Louisville lasted seven years, during which he focused on advanced simulations and research projects. His tenure at KaVo Kerr and internship at Apple further contributed to his practical knowledge in mechanical engineering and high-performance computing. This diverse professional background has allowed him to develop a comprehensive understanding of engineering challenges and solutions.