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.io

Elizabeth’s BlueSky: @imelizabeth.bsky.social

Podcast BlueSky @StanfordPsyPod.bsky.social

Podcast Twitter @StanfordPsyPod

Podcast Substack https://stanfordpsypod.substack.com/

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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 adulthood
• Longitudinal change in daily stress across 20 years of adulthood: Results from the National Study of Daily Experiences
• The Mixed Benefits of a Stressor-Free Life

Podcast Twitter @StanfordPsyPod

Podcast Substack

Let us know what you thought of this episode, or of the podcast! :) stanfordpsychpodcast@gmail.com

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/2404.04204

Diyi’s lab website: https://cs.stanford.edu/~diyiy/group.html

Diyi’s personal website: https://cs.stanford.edu/~diyiy/index.html

Su’s Twitter: @sudkrc

Podcast Twitter: @StanfordPsyPod

Podcast Bluesky: @stanfordpsypod.bsky.social

Podcast Substack: https://stanfordpsypod.substack.com/

Let us know what you thought of this episode, or of the podcast! :) stanfordpsychpodcast@gmail.com

This episode was recorded on February 5, 2025.

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 Change
Katy's Website: Link
Choiceology Podcast: Link
Behavior Change for Good Initiative: Link

Misha’s website: Link

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! :) stanfordpsychpodcast@gmail.com

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)00312-7

Julian's Lab Website: https://compdevlab.yale.edu/

Julian's Faculty Page: https://psychology.yale.edu/people/julian-jara-ettinger

Misha'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! :) stanfordpsychpodcast@gmail.com

In this re-air episode from summer 2021 (one of our first!), Anjie chats with Judy Fan, Assistant Professor of Psychology at Stanford University. Judy’s research is at the intersection of computational neuroscience, cognitive science, and artificial intelligence. In this episode, she discusses a new line of research in her lab exploring how people learn about objects by trying to build them from scratch. She and her team recruited people online to play a game where they aimed to reconstruct various block towers and analyzed the types of mistakes they made, as well as how they got better at the game over time. Insights from experiments like these may help reveal the cognitive principles that govern how people "reverse-engineer" how things are made — from how an unfamiliar dish was prepared to how a song was composed.

You can learn more about this project by visiting this site: https://github.com/cogtoolslab/block_construction and read their paper here: https://cogtoolslab.github.io/pdf/mccarthy_cogsci_2020.pdf

To learn more about Judy Fan's research, check out her lab's website: https://cogtoolslab.github.io/.

You can also follow her on Twitter (@judyefan).

This week, Enna chats with Dr. Mike North, Associate Professor of Management and Organizations, at NYU Stern School of Business and founding director of the AGE Initiative.

Mike’s research focuses on the challenges and opportunities of today’s multigenerational workforce. His work has shaped public conversations on aging and has been featured in major media outlets including The New York Times, The Wall Street Journal, CNN, TIME, and so on.

In our conversation, Mike shares stories from his early days as a researcher, and we dive into two of his recent papers on ageism—one investigating bias against older adults, even among equality advocates, and another unpacking stereotypes about younger generations.

Mike’s Website: https://www.mike-north.com/

Mie’s Twitter: @MichaelSNorth

Mike’s LinkedIn: https://www.linkedin.com/in/michael-north-7aa39b50/

Mike’s Papers:

(1) https://doi.org/10.1037/pspi0000262

(2) https://doi.org/10.1037/xge0001064

Enna’s LinkedIn: https://www.linkedin.com/in/ennayuxuanchen/

Enna’s Twitter: @EnnaYuxuanChen

Podcast Contact: stanfordpsychpodcast@gmail.com

Podcast Twitter: @StanfordPsyPod

Podcast Substack: https://stanfordpsypod.substack.com/

Podcast Contact: stanfordpsychpodcast@gmail.com

Bella chats with professor Laura Schulz.

Laura is a Professor of Cognitive Sciences in the Brain and Cognitive Sciences Department at MIT. She is also the director and principal investigator of the Early Childhood Cognition Lab. Laura’s research focuses on understanding the infrastructure of human cognition and how it’s constructed during early childhood. For example, Laura and her lab study children’s causal reasoning, social cognition, emotion understanding, and the connection between play and learning. Laura has also received numerous scientific awards, such as the American Psychological Association Distinguished Scientific Award for Early Career Contribution to Psychology and the National Academy of Sciences Troland Award.

In this episode, Laura shares personal stories about her journey in science and fascinating research projects that she and her students conducted with infants and children over the years. We also discussed the open science online platform for developmental research called Lookit, first developed by Kim Scott, who was one of Laura’s PhD students.

Laura also shared her vision for gearing the field towards a more open, accessible, and collaborative environment where data sharing is made possible among institutions across continents.

If you find this episode interesting, please leave us a good review on your podcast platform! It only takes a few minutes, but it will allow our podcast to reach more people and hopefully get them excited about psychology and brain sciences.

Links:

Laura’s lab: https://eccl.mit.edu/

Lookit: https://lookit.mit.edu/

Bella's website: https://bellafascendini.github.io/

Bella's Twitter: @BellaFascendini

Podcast Twitter: @StanfordPsyPod

Podcast Substack: https://stanfordpsypod.substack.com/

Let us know what you think of this episode or the podcast! :) stanfordpsychpodcast@gmail.com