Stanford Psychology Podcast

• 160 - Jennifer Hu: From Human Minds to Artificial Minds

  Su chats with Dr. Jennifer Hu. Jenn is an Assistant Professor of Cognitive Science and Computer Science at Johns Hopkins University, directing the Group for Language and Intelligence. Her research examines the computational principles that underlie human language, and how language and cognition might be achieved by artificial models. In her work to answer these questions, she combines cognitive science and machine learning, with the dual goals of understanding the human mind and safely advancing artificial intelligence. We are discussing Jenn’s paper titled “Signatures of human-like processing in Transformer forward passes."Jenn’s paper: https://arxiv.org/abs/2504.14107 Jenn’s lab website: https://www.glintlab.org/ Jenn’s personal website: https://jennhu.github.io/ Su’s Twitter: https://x.com/sudkrc Podcast Twitter @StanfordPsyPodPodcast Substack https://stanfordpsypod.substack.com/Let us know what you thought of this episode, or of the podcast! :) [email protected]

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• 159 - Dawn Finzi: From Vision Neuroscience to ML Engineering (Psychologist in the Wild Series)

  Elizabeth chats with Dr. Dawn Finzi, a Machine Learning engineer on the Perception team at Zoox, and a recent alumni of our very own Stanford’s Department of Psychology, as a part of our new Psychologist in the Wild series. During her PhD, Dawn studied the functional organization of the human visual system, focusing on both the structural underpinnings and the overarching computational goals. In this episode, Dawn shares her scientific journey from PhD to industry, and how her PhD experience translates to her current role at Zoox. If you found this episode interesting at all, subscribe on our Substack and consider leaving us a good rating! It just takes a second but will allow us to reach more people and make them excited about psychology.Dawn’s website: https://www.dawnfinzi.com/Elizabeth’s: website: imelizabeth.github.ioElizabeth’s BlueSky: @imelizabeth.bsky.socialPodcast BlueSky @StanfordPsyPod.bsky.socialPodcast Twitter @StanfordPsyPodPodcast Substack https://stanfordpsypod.substack.com/Let us know what you thought of this episode, or of the podcast! :) [email protected]

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• 158 - David Almeida: Can Stress Be Good For You?

  Jane chats with Dr. David Almeida, a  Professor of Human Development and Family Studies at Penn State. He is the Principal Investigator of the National Study of Daily Experiences (NSDE), the largest longitudinal diary study of daily experiences and health in the United States. Dr. Almeida’s work examines how daily experiences of stress are associated with health and well-being. In this episode, Jane and Dr. Almeida discuss the ways in which people experience and react to stress in their daily lives, who is most likely to experience and be reactive to stress, ways to manage stress, and even some unexpected upside of experiencing stress in daily life.If you found this episode interesting at all, subscribe on our Substack and consider leaving us a good rating! It just takes a second but will allow us to reach more people and make them excited about psychology.Some papers relevant to today’s discussion:  Changes in daily stress reactivity and changes in physical health across 18 years of adulthoodLongitudinal change in daily stress across 20 years of adulthood: Results from the National Study of Daily ExperiencesThe Mixed Benefits of a Stressor-Free Life Podcast Twitter @StanfordPsyPodPodcast SubstackLet us know what you thought of this episode, or of the podcast! :) [email protected]

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• 157 - Diyi Yang: Socially Aware Large Language Models

  In this episode, Su chats with Diyi Yang, an assistant professor in the Computer Science Department at Stanford University, affiliated with the Stanford NLP Group, Stanford Human Computer Interaction Group, Stanford AI Lab, and Stanford Human-Centered Artificial Intelligence. She is also leading the Social and Language Technologies Lab, where they study Socially Aware Natural Language Processing. Her research goal is to better understand human communication in social context and build socially aware language technologies via methods of NLP, deep learning, and machine learning as well as theories in social sciences and linguistics, to support human-human and human-computer interaction.In today's episode, we discuss her interdisciplinary approach to research, along with her recent paper "Social Skill Training with Large Language Models," which introduces a new framework that supports making social skill training more available, accessible, and inviting.Diyi’s paper: https://arxiv.org/abs/2404.04204Diyi’s lab website: https://cs.stanford.edu/~diyiy/group.html Diyi’s personal website: https://cs.stanford.edu/~diyiy/index.html Su’s Twitter: @sudkrcPodcast Twitter: @StanfordPsyPodPodcast Bluesky: @stanfordpsypod.bsky.socialPodcast Substack: https://stanfordpsypod.substack.com/Let us know what you thought of this episode, or of the podcast! :) [email protected] episode was recorded on February 5, 2025.

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• 156 - Katy Milkman: The Art and Science of Lasting Behavior Change

  This week, Misha chats with Katy Milkman, the James G. Dinan Professor at The Wharton School of the University of Pennsylvania. A Fellow of the Association for Psychological Science and former president of the Society for Judgment and Decision Making, her research explores how insights from economics and psychology can be harnessed to change consequential behaviors for good. Her work, published in journals like Nature and PNAS, has been recognized by Thinkers50 as among the world’s most influential in management thinking.In this episode, they discuss Katy’s influential work designing “megastudies” to generate new insights about behavior change, as well as lessons from her bestselling book, How to Change. Katy also shares her perspective on translating scientific findings for a broad audience and the vital role of mentorship in academia.If you found this episode interesting, subscribe to our Substack and consider leaving us a good rating! It just takes a second, but it will allow us to reach more people and excite them about psychology.Links:Katy's book: How to ChangeKaty's Website: LinkChoiceology Podcast: LinkBehavior Change for Good Initiative: LinkMisha’s website: LinkPodcast Twitter: @StanfordPsyPodPodcast Bluesky: @stanfordpsypod.bsky.socialPodcast Substack: https://stanfordpsypod.substack.com/Let us know what you think of this episode or the podcast! :) [email protected]

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