Derek M. Isaacowitz is Professor of Psychological and Brain Sciences and Director of the Lifespan Lab at Washington University in St Louis. He joined the WashU faculty after serving on the Psychology faculty at Brandeis and at Northeastern. He was an undergraduate student at Stanford University, and received his Ph.D. in Psychology from the University of Pennsylvania. His research on emotion regulation and social perception in the context of adult development and aging has been funded by the National Institute on Aging, National Institute of Mental Health, and Velux Stiftung. This research has appeared in journals such as Psychological Science, Social and Psychological and Personality Science, Emotion, and Affective Science. He was editor-in-chief of the Journals of Gerontology: Psychological Sciences until the end of 2023 and in 2024 became a senior editor at Psychological Science. He previously served as chair of the Social Psychology, Personality and Interpersonal Processes study section at NIH. He is the 2025 recipient of the Mid-Career Research Trajectory Award from the Society for Affective Science, and also received the Springer Early Career Achievement Award from Division 20 (Adult Development and Aging) of the American Psychological Association, the Margret M. and Paul B. Baltes Foundation Award in Behavioral and Social Gerontology, for Outstanding Early Career Contributions, from the Gerontological Society of America, as well as teaching and mentoring awards.
Jo Cutler is a Wellcome Trust Early Career Research Fellow in the Centre for Human Brain Health at the University of Birmingham. Jo obtained her PhD in Psychology at the University of Sussex. She then worked as a Postdoctoral Researcher in the Social Decision Neuroscience Lab at the University of Oxford and the University of Birmingham. Jo is interested in how we make choices to help other people and then learn about the consequences of our actions. Her current research investigates whether people are interested in what is happening to others, how these social decisions change across the lifespan, and their neural mechanisms. To answer these questions, Jo uses tools including fMRI, computational neurology, large international datasets, novel tasks, and computational modelling.
Michiko Sakaki received her PhD in Educational Psychology at the University of Tokyo in 2007. She received her postdoc training on neuroscience at the National Institute of Advanced Industrial Science and Technology, Japan, as well as additional postdoc training on cognitive neuroscience and aging at the University of Southern California in USA. She then worked at the University of Reading, UK between 2013 and 2020 as a senior research fellow. Since 2021, she is a tenure track professor at the University of Tübingen, Germany.
Bob Wilson is an Associate Professor at Georgia Tech. The goal of his research is to build mathematical theories of the mind and brain that explain behavior in health, mental illness, and cognitive decline. To this end, work in his lab mixes computational modeling with behavioral, neuroimaging, and neurostimulation experiments to probe the algorithms underlying human behavior
Erin Grant is a Senior Research Fellow at the Gatsby Computational Neuroscience Unit and the Sainsbury Wellcome Centre at University College London. Erin studies prior knowledge and learning mechanisms in minds, brains, and machines using a combination of behavioral experiments, computational simulations, and analytical techniques, with the goal of grounding higher-level cognitive phenomena in a neural implementation. Erin earned her Ph.D. from the University of California, Berkeley in 2022 with support from Canada’s Natural Sciences and Engineering Research Council. During her Ph.D., Erin spent time at OpenAI, Google Brain, and DeepMind. Erin currently serves on the Women in Machine Learning Board of Directors.
Mark Ho is an Assistant Professor in the Department of Psychology and Affiliated Faculty in the Department of Computer Science and Center for Data Science at NYU, where he directs the Computation and Decision-Making Lab (codec-lab.github.io/). Research in his group uses insights from cognitive science and computer science to examine the cognitive, motivational, and social processes that shape how people and machines solve problems. Previously, he was a postdoc at Princeton and UC Berkeley, completed a Ph.D. in Cognitive Science and M.S. in Computer Science at Brown, and received a B.A. in Philosophy from Princeton
Dr. Luke Stoeckel is a licensed clinical neuropsychologist and cognitive neuroscientist. He directs the Neuropsychological Change, Interventions, and Decision Science Programs in the Division of Behavioral and Social Research at the National Institute on Aging at the National Institutes of Health. Dr. Stoeckel completed his undergraduate studies at Harvard College, his PhD in Medical/Clinical Psychology at the University of Alabama at Birmingham, and his internship and postdoctoral training in clinical neuropsychology and cognitive neuroscience at Massachusetts General Hospital (MGH), McLean Hospital, the Massachusetts Institute of Technology (MIT), and Harvard Medical School (HMS). Prior to joining NIH, he was the Director of Clinical Neuroscience at the MGH Center for Addiction Medicine, Assistant Professor of Psychology at Harvard Medical School, Affiliated faculty at the Martinos Center for Biomedical Engineering at MGH, and a Visiting Scientist at McLean Hospital and the McGovern Institute for Brain Research at MIT.
Dr. Matt Sutterer is a Program Director in the Behavioral and Systems Neuroscience Branch, Division of Neuroscience, National Institute on Aging (NIA). Dr. Sutterer manages a portfolio of research on neural mechanisms underlying cognitive and emotional changes and/or stability with age. This includes research on prevention and treatment trials for age-related cognitive decline or impairment (including Alzheimer’s disease and Alzheimer’s disease related dementias), as well as work looking at the neural correlates and neurobiology of attention, cognitive control, executive functions, language, decision-making, and emotion. Dr. Sutterer earned his Ph.D. in Neuroscience from the University of Iowa where he conducted research looking at plasticity in brain networks related to emotion and decision-making following focal brain injury or surgical intervention. After his Ph.D., Dr. Sutterer completed a postdoctoral fellowship at the University of Iowa examining aging-related changes in brain networks important for executive functions. Prior to joining NIA in 2018, Dr. Sutterer was an AAAS Science and Technology Policy Fellow at the National Institute of Justice