Wanli Xing

Associate Professor of Educational Technology, University of Florida; Director, Learning Engineering Virtual Institute and Advanced Computing for Education Lab

Wanli Xing is an associate professor of Educational Technology in the School of Teaching and Learning at the University of Florida. He is the Director of the Learning Engineering Virtual Institute and the Advanced Computing for Education Lab. Dr. Xing’s research is dedicated to pioneering strategies, frameworks, and technologies that revolutionize STEM education and online learning. He creates learning environments using cutting-edge technologies such as artificial intelligence, computer simulations and modeling, internet of things, and augmented reality to support learning in various contexts. He also designs and applies machine learning and data mining methods to understand, assess, and optimize the learning process and the environments in which it occurs. Dr. Xing’s research initiatives have produced new theories, principles, and methods on how to design effective educational technology that teaches the knowledge and skills needed for the future STEM workforce. His commitment to advancing learning sciences and technologies is reflected in the ample support received from federal agencies, state entities, and foundations.
Lab website: Advanced Computing for Education (AICE) Lab

Chenglu Li

Assistant Professor of Educational Psychology, University of Utah

Chenglu Li is an Assistant Professor of Educational Psychology at the University of Utah, interested in learning analytics, artificial intelligence in education, and educational data mining. He has published a number of papers in journals such as Computers and Education, British Journal of Educational Technology, International Journal of Artificial Intelligence in Education, IEEE Transactions on Learning Technologies, Interactive Learning Environments, Distance Education, and Journal of Educational Computing Research. Dr. Li also has industry experience as a full-stack engineer and has led several successful educational and commercial applications.
Personal website: www.chengluli.com

Zandra de Araujo

Mathematics Principal, University of Florida

Zandra de Araujo is a mathematics principal at the University of Florida whose research focuses on teachers’ algebra instruction with students who are primarily English learners. She has served as Principal Investigator (PI) or co-PI on multiple National Science Foundation–funded projects, and her work has been published in leading mathematics education journals. A former high school mathematics teacher in Orange County Public Schools, she has held a faculty position at the University of Missouri and served in leadership roles in professional organizations such as TODOS: Mathematics for All and the National Council of Teachers of Mathematics. She earned degrees in mathematics and mathematics education from the University of Florida, the University of Central Florida, and the University of Georgia.
Personal website: zandradearaujo.com

Gautam Biswas

Cornelius Vanderbilt Professor of Engineering; Professor of Computer Science and Computer Engineering, Vanderbilt University

Gautam Biswas is a Cornelius Vanderbilt Professor of Engineering and Professor of Computer Science and Computer Engineering at Vanderbilt University. His research focuses on intelligent systems for monitoring, control, and fault-adaptive operation of complex cyber-physical systems, as well as intelligent open-ended learning environments and multimodal learning analytics in STEM and computing education. He has served as co-PI on large-scale initiatives such as the NSF AI Institute for Engaged Learning (ENGAGE AI) and the IES GENIUS center for Generative AI in STEM education, and his work has been supported by major federal agencies including NASA, NSF, DARPA, and the U.S. Department of Education, resulting in more than 600 refereed publications.
University page: my.vanderbilt.edu/gautambiswas

Daniel L. Schwartz

I. James Quillen Dean and Nomellini & Olivier Professor of Educational Technology, Stanford Graduate School of Education; Halper Family Faculty Director, Stanford Accelerator for Learning

Daniel L. Schwartz is the I. James Quillen Dean and the Nomellini & Olivier Professor of Educational Technology at Stanford Graduate School of Education, where he also serves as the Halper Family Faculty Director of the Stanford Accelerator for Learning. An expert in human learning and educational technology, he leads a research program that designs pedagogy, technologies, and assessments to help people learn and adapt over their lifetimes. He has taught in diverse educational settings in Kenya, Los Angeles, and rural Alaska, and is the author of The ABCs of How We Learn and co-host of the Stanford GSE podcast “School’s In.”
University page: ed.stanford.edu/faculty/danls

Bhuwan Dhingra

Assistant Professor of Computer Science, Duke University

Bhuwan Dhingra is an Assistant Professor of Computer Science at Duke University, where he leads a research group on machine learning for natural language processing and knowledge representation. His work focuses on question answering and information retrieval, reasoning over structured and unstructured knowledge, robustness to corrupted text inputs, misinformation and propaganda detection, and model calibration for subjective NLP tasks. He completed his Ph.D. in Language Technologies at Carnegie Mellon University and previously worked as a systems engineer at Qualcomm Research.
University page: users.cs.duke.edu/~bdhingra

Reid M. Whitaker

Senior Associate, WilmerHale (Washington, DC)

Reid M. Whitaker is a senior associate at WilmerHale in Washington, DC, where his practice focuses on patent litigation and other complex civil litigation involving technology. Before joining the firm, he clerked for Judge Leonard P. Stark of the US Court of Appeals for the Federal Circuit, Judge Thomas L. Ambro of the US Court of Appeals for the Third Circuit, and Chief Judge Colm F. Connolly of the US District Court for the District of Delaware. During law school, he worked as a research assistant to Professor Daniel Ho on empirical projects involving the EPA’s Clean Water Act and the Board of Veterans’ Appeals, and he also interned in the US Department of Justice’s Civil Division.
Firm biography: wilmerhale.com/en/people/reid-whitaker