Dr. Zachary Pardos is an Associate Professor at the UC Berkeley School of Education studying adaptive learning and AI. His work in higher education, designing Human-AI collaborations to pave pathways to and between systems of higher education, has been published in venues such as Computers & Education, NeurIPS, The Internet and Higher Education, and Science. This work has included the first paper on algorithmic articulation (Pardos et al., 2019) and initiatives for deploying AI-assistive tools used by tens of thousands of students, administrators, and faculty to support transfer and STEM subject learning at community colleges and universities, including SUNY and the California Community College system. Dr. Pardos earned his PhD in Computer Science from Worcester Polytechnic Institute, followed by a post-doc at the Massachusetts Institute of Technology. At UC Berkeley, he directs the Computational Approaches to Human Learning research lab, teaches data mining in the data science undergraduate program, and is an affiliated faculty in Cognitive Science.