Caleb Rottman
About Caleb Rottman
Caleb Rottman is a Senior Data Scientist at HireVue, specializing in machine learning solutions for predicting job performance. He holds a PhD in Bioengineering from the University of Utah and has extensive experience in both academic and industry settings.
Work at HireVue
Caleb Rottman has been employed at HireVue since 2017, initially serving as a Data Scientist before advancing to the role of Senior Data Scientist in 2020. His work focuses on the development of machine learning solutions aimed at enhancing predictive analytics in the hiring process. Rottman specializes in creating algorithms that predict job performance while addressing algorithmic bias, contributing to more equitable hiring practices. He operates within the Salt Lake City Metropolitan Area, where HireVue is headquartered.
Education and Expertise
Caleb Rottman holds a PhD in Bioengineering with a concentration in Medical Imaging from the University of Utah, where he studied from 2010 to 2016. Prior to this, he earned a Bachelor of Science in Engineering (BSE) in Electrical and Computer Engineering, Mathematics, and Biochemistry from Calvin University, completing his studies from 2006 to 2010. His educational background provides a strong foundation in both engineering principles and computational techniques, which he applies in his current role.
Background
Before joining HireVue, Caleb Rottman gained valuable experience through various internships and assistant roles. He worked as an Engineering Intern at GE Healthcare in 2012 and at GE Aviation in 2010. Additionally, he served as a Graduate Teaching Assistant at the University of Utah for one year and was a PhD Research Assistant at the Scientific Computing and Imaging Institute from 2010 to 2016. This diverse background has equipped him with practical skills in engineering and research.
Achievements
Throughout his career, Caleb Rottman has been involved in the development of machine learning algorithms that focus on predicting job performance. His work addresses critical issues such as algorithmic bias, aiming to improve fairness in hiring processes. His contributions at HireVue reflect a commitment to leveraging data science for impactful solutions in human resources and recruitment.