Zack Bennett
About Zack Bennett
Zack Bennett is a Distinguished Machine Learning Scientist at Turnitin, where he has worked since 2021. He has extensive experience in machine learning and software engineering, having held various roles at Turnitin and LexisNexis, and he has an educational background in Computer Science and English from the University of Colorado Boulder and the University of Texas at Austin.
Work at Turnitin
Zack Bennett has served as a Distinguished Machine Learning Scientist at Turnitin since 2021. In this role, he manages AI architecture and data governance for various products, including TFS, Draft Coach, Gradescope, and ExamSoft. He leads a team of five machine learning scientists and engineers, focusing on enhancing AI capabilities within Turnitin's offerings. His responsibilities include collaborating with product and technical management to define the strategic direction and roadmaps for AI initiatives.
Previous Experience
Before his current position, Zack Bennett worked at Turnitin as a Principal Machine Learning Scientist from 2018 to 2021. His career also includes significant roles at LexisNexis, where he held various positions from 2002 to 2018, including Sr. Architect and Sr. Consulting Software Engineer. Additionally, he served as Adjunct Faculty at Sinclair Community College from 2014 to 2016, contributing to the academic community in Dayton, Ohio.
Education and Expertise
Zack Bennett earned a Master of Engineering in Computer Science from the University of Colorado Boulder, where he studied from 2008 to 2012. He also holds a Bachelor of Arts in English and Philosophy from The University of Texas at Austin, completed from 1990 to 1993. His educational background supports his expertise in machine learning and AI, which he applies in his current role at Turnitin.
Career Development
Zack Bennett's career spans over two decades, beginning as a Sr. Systems Analyst at the University of Texas at Austin from 1997 to 2002. He progressed through various roles at LexisNexis, where he gained extensive experience in software engineering and computational linguistics. His transition to academia as an Adjunct Faculty member further diversified his professional experience, enhancing his skills in both practical and theoretical aspects of technology.