Cai is an associate professor of education and co-director of the Center for the Study of Evaluation/National Center for Research on Evaluation, Standards, and Student Testing at UCLA’s Graduate School of Education & Information Studies. He was honored for his early contributions to measurement and statistical analysis, particularly in the area of statistical computing, and for leadership in shaping statistical practice in education, psychology and health. He is also affiliated with the UCLA Department of Psychology. His work emphasizes the development of new statistical methods for social science research and the application of new and existing methods of research to scholarship in education, psychology and related fields. His research expertise includes measurement and statistical modeling and computing, with wide-ranging applications in educational, psychological and health-related fields.
Vaughan is an assistant professor of computer science at the UCLA Henry Samueli School of Engineering and Applied Science whose research interests are in machine learning, algorithmic aspects of economics and social computing. Machine learning, a branch of artificial intelligence, is a scientific discipline concerned with the design and analysis of algorithms that allow computers to calculate recommended behaviors or predictions based on empirical data, such as collections of documents on the Web or sets of tagged images. It is applicable to problems as diverse as natural language processing, speech recognition, spam detection, search, computer vision, gene discovery, medical diagnosis and robotics.