Emmanuel Garza
About Emmanuel Garza
Emmanuel Garza is a Senior Software Integration Engineer specializing in high-performance computing at Divergent. He has extensive experience in academia, having held positions at Caltech and the University of Southern California, and holds a PhD in Applied and Computational Mathematics from Caltech.
Work at Divergent 3D
Emmanuel Garza currently holds the position of Senior Software Integration Engineer (HPC) at Divergent 3D. He has been with the company since 2021, contributing to high-performance computing projects. His role involves integrating software solutions that enhance the efficiency and capabilities of Divergent's technology.
Education and Expertise
Emmanuel Garza earned his Bachelor's Degree in Engineering Physics from Tecnológico de Monterrey, completing his studies from 2008 to 2013. He further pursued a Doctor of Philosophy (PhD) in Applied and Computational Mathematics at Caltech, where he studied from 2013 to 2020. His academic background provides a strong foundation in computational models and mathematical principles.
Background in Research and Teaching
Garza has extensive experience in academic research and teaching. He worked at Caltech as a Research Assistant from 2013 to 2020 and as a Teaching Assistant from 2014 to 2019. He also served as a Summer Undergraduate Research Fellow at Caltech in 2011 and 2012. His role as a Postdoctoral Scholar at the University of Southern California from 2020 to 2021 further solidified his research credentials.
Professional Experience in Data Science
In addition to his engineering roles, Emmanuel Garza was a Data Science Fellow at Insight Data Science in 2020. This position allowed him to apply his computational skills in data science projects. His experience spans various roles that emphasize his ability to solve complex problems through computational methods.
Research Contributions
During his PhD studies, Emmanuel Garza focused on developing computational software to model the scattering of electromagnetic waves on complex obstacles. He utilized computational models to design optical devices, showcasing his expertise in applying mathematics to real-world challenges.