Organizing Committee

A big Thank You to Jacobs Foundation and CIFAR for financing this workshop series.

Drew Bailey is an Associate Professor in the School of Education at the University of California, Irvine. His research interests include understanding stability and change in children’s academic skills and the medium and long-term effects of educational interventions.

Alexander Jonas Jung is a PhD student in the Hector Research Institute of Education Sciences and Psychology at the University of Tübingen. His research focuses on reciprocal effects between teachers and students in terms of class-room-related behaviours, cognitions, and motivation. Additionally he researches the impact of person-specific random slopes on effect-estimates from longitudinal structural equation models.

Catherine Lebel is an Associate Professor of Radiology at the University of Calgary and a Canada Research Chair in Pediatric Imaging. She leads the Child Brain & Mental Health Program at the Alberta Children's Hospital Research Institute and is a member of the Hotchkiss Brain Institute. Dr. Lebel received her PhD in Biomedical Engeneering from the University of Alberta and completed postdoctoral training in Neurology and Pediatrics at the University of California, Los Angeles. Her research uses MRI to study how brain structure and function change with age in typical children and those with neurodevelopmental disorders, including fetal alcohol spectrum disorder and learning disabilities. She also examines how brain structure and function are related to cognitive, behavioral, and (prenatal) environmental factors.

Julia Moeller is an interim professor of early child development and assistant professor of educational psychology at the University of Leipzig in Germany. She uses and further develops intensive longitudinal methods and within-person analyses and studies motivation and emotions in achievement contexts.

Kou Murayama is a full professor in the Hector Research Institute of Education Sciences and Psychology at the University of Tübingen. He is also a professor at the University of Reading and an honorary professor at the Kochi Institute of Technology. He is a recipient of the Humboldt Professorship from Alexander von Humboldt Foundation and an Advanced Research Fellow of the Jacobs Foundation. His work generally aims to understand human motivation, using data from various types of methods and designs such as behavioural experiments, large-sample panel designs, neuroimaging, and intensive-longitudinal data.

Adeel Razi is an Associate Professor at the Turner Institute for Brain and Mental Health, in the School of Psychological Sciences, Monash University, Australia. He joined Monash, after finishing his postdoctoral studies (2012-2018) at the Wellcome Centre for Human Neuroimaging, UCL, UK. His research is cross-disciplinary, combining engineering, physics, and machine-learning approaches, to model complex, multi-scale, network dynamics of brain structure and function using neuroimaging. He is currently an NHMRC Investigator (Emerging Leadership, 2021-2025), CIFAR Azrieli Global Scholar (2021-2023) in their Brain, Mind and Consciousness Program and was an ARC DECRA Fellow (2018-2021). He received the B.E. degree in Electrical Engineering (with a Gold Medal) from the N.E.D. University of Engineering & Technology in Pakistan, the M.Sc. degree in Communications Engineering from the University of Technology Aachen (RWTH), Germany, and the Ph.D. degree in Electrical Engineering from the University of New South Wales, Australia in 2012.

Baobao Zhang is an assistant professor of Political Science at the Maxwell School of Citizenship and Public Affairs at Syracuse University. She is also a CIFAR Azrieli Global Scholar and a research affiliate with the Centre for the Governance of AI. Her current research focuses on trust in digital technology and the governance of artificial intelligence (AI). She studies (1) public and elite opinion toward AI, (2) how the American welfare state could adapt to the increasing automation of labor, and (3) attitudes toward Covid-19 surveillance technology. Her previous research covered a wide range of topics, including the politics of the U.S. welfare state, attitudes towards climate change, and survey methodology. She graduated with a PhD in political science (2020) and an MA in statistics (2015) from Yale University. In 2020-2021, she worked as a Klarman Postdoctoral Fellow in the Cornell Society of Fellows. In 2019-2020, she worked as a postdoctoral fellow in MIT’s Political Science Department and a fellow at the Berkman Klein Center for Internet and Society at Harvard University.