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Stanford Psychology Podcast

Stanford Psychology
Stanford Psychology Podcast
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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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  • 155 - Julian Jara Ettinger: How we understand other minds
    This week, Misha chats with Julian Jara-Ettinger, Associate Professor of Psychology and Computer Science at Yale University. Julian directs the Computational Social Cognition Lab, which aims to reveal the fundamental representations and computations that make complex human social behavior possible. His work combines computational modeling, developmental studies, and cross-cultural research to build a blueprint for more human-like social intelligence.In this episode, we discuss his recent paper, "Tracking minds in communication," which challenges the classical view of language and social reasoning as separate systems. They explore how our brains constantly run social "micro-processes" in real-time to track other minds, a fundamental ability that guides our communication. They also dive into Julian's academic journey, his vision for the future of computational social cognition, and how he successfully navigates the interdisciplinary landscape of cognitive science.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: Julian's paper "Tracking minds in communication": https://www.cell.com/trends/cognitive-sciences/abstract/S1364-6613(24)00312-7Julian's Lab Website: https://compdevlab.yale.edu/Julian's Faculty Page: https://psychology.yale.edu/people/julian-jara-ettingerMisha's website: https://www.mishaokeeffe.com/Podcast Twitter: @StanfordPsyPod Podcast Bluesky: @stanfordpsypod.bsky.social Podcast Substack: https://stanfordpsypod.substack.com/Let us know what you think of this episode or the podcast! :) [email protected]
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À propos de Stanford Psychology Podcast

The student-led Stanford Psychology Podcast invites leading psychologists to talk about what’s on their mind lately. Join Eric Neumann, Anjie Cao, Kate Petrova, Bella Fascendini, Joseph Outa and Julia Rathmann-Bloch as they chat with their guests about their latest exciting work. Every week, an episode will bring you new findings from psychological science and how they can be applied to everyday life. The opinions and views expressed in this podcast represent those of the speaker and not necessarily Stanford's. Subscribe at stanfordpsypod.substack.com. Let us hear your thoughts at [email protected]. Follow us on Twitter @StanfordPsyPod. Visit our website https://stanfordpsychologypodcast.com. Soundtrack: Corey Zhou (UCSD). Logo: Sarah Wu (Stanford)
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