Our Hub is driven by a team of researchers, thought leaders, data analysts, and educators driven to understand how to maximize benefit, minimize risk, and build a reimagined future for learning supported by generative AI. With expertise spanning education policy, school leadership, and system wide change we bring a unique perspective to the intersection of technology and learning.
Chris Agnew
Director of the Generative AI in Education Hub, SCALE at the Stanford Accelerator for Learning
As the Director, Chris is the principal organizing force in designing and implementing the new Generative AI in Education Hub - from concept to strategic planning to full implementation. Chris works closely with faculty and staff to build partnerships with education organizations and practitioners including schools, educators, policy makers, funders, NGO’s, and the edtech sector.
With over 25 years in education, Chris has taught and led both K12 schools and non traditional learning environments adjacent to K12 and post secondary. Committed to learning that is experiential, applied and relevant, Chris shifted to edtech to improve access and reduce cost of transformative learning models.
Prior to Stanford, Chris led US higher ed strategy and credentials for Multiverse, an edtech startup using professional apprenticeships as an alternative to college and university.
Susanna Loeb
Research Lead and Executive Director, Systems Change for Advancing Learning and Equity (SCALE) at the Stanford Accelerator for Learning
Susanna Loeb is a Professor and Faculty Director of the SCALE Initiative at the Graduate School of Education at Stanford University. She is also the Founder and Executive Director of the National Student Support Accelerator, which aims to expand access to high-impact tutoring to address inequities in educational opportunities.
Prior to returning to Stanford in 2023, Susanna led the Annenberg Institute at Brown University, where she was also Professor of Education and International and Public Affairs. Susanna’s research focuses broadly on education policy and its role in improving educational opportunities for students. Her work has addressed issues of educator career choices and professional development, of school finance and governance, and of early childhood systems.
Before moving to Brown, Susanna was the Barnett Family Professor of Education at Stanford. She was the founding director of the Center for Education Policy at Stanford and co-director of Policy Analysis for California Education. Susanna led the research for both Getting Down to Facts projects for California schools. She is an affiliate of NBER and JPAL and a member of the National Academy of Education and the American Academy of Arts and Sciences.
Benjamin Leiva
Senior Research Data Analyst at the Generative AI in Education Hub, SCALE at the Stanford Accelerator for Learning
Benjamin Leiva is a Senior Research Data Analyst on the Generative AI for Education Hub team. He is interested in leveraging AI and ML techniques for data-driven research on relevant public sector markets.
Benjamin previously worked at University of Chicago’s MiiE Lab building GenAI data pipelines for analyzing the content of textbooks taught in public, private, and religious schools. Before that, he worked as an economist at the Chilean Antitrust Authority developing policies to increase efficiency and competitiveness in strategic markets like education, healthcare, energy, public procurement, and social safety nets.
He holds an MS degree in Computational Analysis and Public Policy from The University of Chicago, an MS degree in Economics from the Pontifical Catholic University of Chile, and a BA in Economics from the University of Chile.
