Michael Xu
About Michael Xu
Michael Xu is a Geotechnical Software Developer with a background in Electrical and Computer Engineering from the University of Toronto. He specializes in 3D rockfall simulations and the application of the Material Point Method for landslide research.
Work at Rocscience
Michael Xu currently serves as a Geotechnical Software Developer at Rocscience, a role he has held since 2020. In this position, he focuses on developing software solutions for geotechnical engineering applications. His work includes creating 3D rockfall simulations, which are essential for understanding and mitigating rockfall hazards in various geological settings. Prior to his current role, he completed a Software Development Internship at Rocscience in 2019 for three months, where he gained valuable experience in software development within the geotechnical field.
Education and Expertise
Michael Xu earned a Bachelor of Applied Science (BASc) in Engineering Science, specializing in Electrical and Computer Engineering, from the University of Toronto. He studied from 2015 to 2020, acquiring a solid foundation in engineering principles and practices. Additionally, he attended Cawthra Park Secondary School, where he participated in the Regional Arts Program focused on Guitar from 2011 to 2015. This diverse educational background contributes to his technical expertise in software development and geotechnical applications.
Background
Michael Xu has a diverse background in software engineering and geotechnical applications. He began his career as a Technical Student at Toronto Hydro in 2016, where he worked for three months. He then transitioned to Microsemi Corporation, serving as a Software Engineering Intern from 2018 to 2019 for nine months. His experiences in these roles provided him with a strong foundation in software development before joining Rocscience.
Research Focus
Michael Xu conducts research on the application of the Material Point Method, particularly in addressing landslide problems. This research is significant in the field of geotechnical engineering, as it aims to improve the understanding and prediction of landslide behavior. His work contributes to the development of more effective solutions for landslide risk management.