In ongoing work, we are exploring ways to incorporate more physics knowledge into the inverse-graphics framework to model people’s inference about physical properties, object’s motion under occlusion, etc.
Can you tell if a tower will fall or if two objects will collide — just by looking? 🧠👀 Come check out my #CogSci2025 poster (P1-W-207) on July 31, 13:00–14:15 PT to learn how people do general-purpose physical reasoning from visual input!
I’m excited to share that I will join @UWPsych as an Assistant Professor starting in Fall 2025. 🎇🥳
I feel incredibly fortunate to join such a wonderful department and to have the opportunity to start my own lab! (1/2)
In ongoing work, we are continuing to explore what kind of language is associated with faster learning in other participants who haven’t played the game before.
Do you still remember how your tennis coach taught you to play when you were a kid? Excited to present our paper on how people communicate about their understanding of physical dynamics in natural language! w/ @jane_yt_yang, @rtk254, and @judyefan (see us at #CogSci2022!)
People are continually challenged to predict how objects will behave in novel settings. We’re excited about this work contributing to our understanding of the cognitive mechanisms that support such generalization!