Zachary Pardos is an Associate Professor of Education at UC Berkeley studying adaptive learning and AI. His early scholarship focused on formative assessment using Knowledge Tracing, the predominant model used for estimating skill mastery in computer tutoring system contexts. His recent work designing Human-AI collaborations to pave pathways to and between systems of higher education has been published in venues such as SIGCHI, NeurIPS, The Internet and Higher Education, and Science. This work has included the development of high-quality AI-assistive tools used by tens of thousands of students, administrators, and faculty to support transfer, articulation, and STEM subject learning at community colleges and universities.