Siyuan Chang
About Siyuan Chang
Siyuan Chang is a Teaching Assistant at Vanderbilt University with a background in Mechanical Engineering and expertise in computational fluid physics.
Current Role at Vanderbilt University
Siyuan Chang is currently working at Vanderbilt University as a Teaching Assistant. In this role, Siyuan Chang is involved in supporting the educational mission of the university, assisting professors with instructional responsibilities, and aiding students in achieving their academic goals. The position highlights a commitment to education and facilitating the learning process for students in the field of Mechanical Engineering.
Previous Research Experience
From 2011 to 2015, Siyuan Chang worked as a Research Assistant at Vanderbilt University in the Computational Fluid Physics Lab. During this tenure, they contributed to significant research projects focused on computational fluid dynamics and fluid-structure interaction. This role provided extensive experience in advanced research methodologies and computational tools relevant to the field, laying a robust foundation for future academic and professional pursuits.
Educational Background
Siyuan Chang holds a Doctor of Philosophy (Ph.D.) in Mechanical Engineering from Vanderbilt University, earned between 2011 and 2016. This advanced degree underscores their profound expertise in mechanical engineering disciplines. Prior to this, Siyuan Chang obtained a Bachelor's degree in Thermal Science and Energy Engineering from the University of Science and Technology of China, completed from 2007 to 2011. This comprehensive educational background solidifies their expertise in mechanical and thermal sciences.
Expertise in Computational Tools and Numerical Methods
Siyuan Chang has developed computational tools specifically designed for fluid-structure interaction and thermo-fluids within biomedical applications. Proficiency in programming languages such as Fortran and C/C++, coupled with experience in using CAE software like Abaqus and ANSYS, positions them as a skilled computational analyst. Their research focuses on high-performance computing and numerical methods, particularly in the contexts of electronic cooling, automotive, and Oil & Gas industries.