Boyang Chen, Ph.D candidate


Aerospace Engineering

FXB 2045

[email protected]

Rose-Hulman Institue of Technology
BSc Mechanical Engineering '21

Research Interests

Computational Structure Analysis, Numerical Methods, Probabilistic and Statistical Methods, Composite Material Modeling


Boyang Chen is a distinguished Ph.D. candidate in Aerospace Engineering at the University of Michigan, specializing in the interdisciplinary realm of composite materials and machine learning. Notably, Boyang Chen has successfully combined traditional engineering methods with machine learning algorithms to develop predictive models that offer unprecedented insights into the durability and performance of advanced materials. This integrative approach has not only garnered academic acclaim but also holds substantial implications for the aerospace industry. As Boyang Chen prepares to complete the doctoral program, the focus remains on pushing the boundaries of what is possible in composite material research, with an eye toward real-world applications that could revolutionize not just aerospace but also other sectors requiring high-performance materials.