Ken Ferrell
About Ken Ferrell
Ken Ferrell serves as the System Director of AI at CommonSpirit Health, where he leads a team of data scientists in developing data solutions for healthcare analytics. He holds a Bachelor of Science in Computational Mathematical Sciences from Arizona State University and a Master of Science in Biomedical Data Science from Stanford University.
Work at CommonSpirit Health
Ken Ferrell serves as the System Director of AI at CommonSpirit Health, a position he has held since 2010. In this role, he translates complex business questions into implementable solutions using machine learning and advanced statistical methods. He is responsible for architecting data solutions that support real-time patient care predictives and research efforts. Additionally, he manages a growing team of data scientists focused on addressing enterprise needs for data analysis and visualization.
Education and Expertise
Ken Ferrell holds a Bachelor of Science in Mathematics - Computational Mathematical Sciences with a minor in Geography from Arizona State University, where he studied from 2009 to 2013. He furthered his education by earning a Master of Science in Biomedical Data Science from Stanford University School of Medicine, completing his studies from 2013 to 2016. His academic background provides a strong foundation for his work in healthcare analytics and data science.
Background
Ken Ferrell has a diverse professional background that includes military service and academic roles. He served in the United States Air Force as a Staff Sergeant from 1981 to 1990. Following his military career, he transitioned into academia, taking on roles such as Adjunct Faculty at both Grand Canyon University since 2016 and Arizona State University from 2017 to 2018. His experience spans various sectors, including healthcare and education.
Achievements
Throughout his career, Ken Ferrell has contributed to various initiatives in healthcare analytics and data science. At CommonSpirit Health, he has played a key role in developing data solutions that enhance patient care and support research efforts. His leadership in managing data science teams has been instrumental in addressing complex enterprise needs. Additionally, his academic contributions as an adjunct professor reflect his commitment to education and knowledge sharing.