Michael Giessing
About Michael Giessing
Michael Giessing is a Senior Analytics Engineer at Health Catalyst, where he has worked since 2017. He has a strong background in applied mathematics and data science, with previous roles in academia and various industries.
Work at Health Catalyst
Michael Giessing has been employed at Health Catalyst since 2017, currently holding the position of Senior Analytics Engineer. In this role, he applies his expertise in data analysis to support healthcare initiatives. Prior to this, he worked as a Data Architect at Health Catalyst from 2014 to 2017, contributing to data management and analytics projects in the Greater Salt Lake City Area. His ongoing tenure at Health Catalyst highlights his commitment to improving healthcare outcomes through data-driven solutions.
Education and Expertise
Michael Giessing earned a Master of Science (MS) in Applied Mathematics from the University of Utah, completing his studies from 2003 to 2005. He also holds a Bachelor of Science (BS) in Mathematics, which he obtained from 1995 to 2003 at the same institution. His educational background provides a strong foundation in mathematics, analysis, and data science, which he leverages in his professional roles and as a subject matter expert in contract work.
Background in Academia
Giessing has a background in academia, having worked at the University of Utah as a Math Tutor from 2001 to 2004 and as a Teaching Assistant from 2004 to 2005. In these roles, he supported students in understanding mathematical concepts and contributed to the educational environment. His experience in academia complements his analytical skills and enhances his ability to communicate complex ideas effectively.
Previous Experience at Jacobs Technology
Before joining Health Catalyst, Michael Giessing worked at Jacobs Technology as a Senior Scientist from 2006 to 2014. During his eight years at Jacobs Technology, he applied his analytical skills across various projects, contributing to advancements in multiple domains, including defense and healthcare. This experience enriched his expertise and prepared him for his subsequent roles in data analytics.
Collaboration with Stanford Healthcare
Michael Giessing collaborated with Stanford Healthcare to enhance patient experience by utilizing machine learning algorithms and data visualization techniques. This project reflects his ability to apply mathematical and computational skills to real-world healthcare challenges, demonstrating his commitment to improving patient outcomes through innovative data solutions.