curriculum vitae // request a rec letter

Every day, we look out into the world and see scenes of people in motion, and make sense of these scenes by appealing to their underlying causes. We appreciate that other people have mental lives, including desires, percepts, and beliefs, and we also understand that people are solid bodies, who can exert forces and navigate themselves through a physical world. How do our minds and brains get so much meaning from this input, and how we grow to this knowledge over development?

I am committed to making science more open (transparent, reproducible, and inclusive). Part of this commitment is providing high-quality mentorship to students from all backgrounds. As a first-generation immigrant to the US who stumbled into science, I am aware that without supportive mentors, and a great deal of personal development, I would have stumbled out. Here is a working draft of my mentorship philosophy.

Minjae Kim, PhD [website] (2023 - )

NSF SBE Postdoctoral Fellow

I’m interested in how we explain, evaluate, and draw inferences from people's actions and interactions. How are these processes supported by mentalizing and physical reasoning, and how are they affected by motivation? My research uses multiple approaches (behavioral, neuroimaging, developmental, computational) to explore these questions.

I received my PhD in Psychology & Neuroscience from Boston College, and my BA in Neuroscience from Swarthmore College. I am currently supported by an NSF SBE Postdoctoral Research Fellowship.

Qiong Cao, PhD (2024 - )

Postdoctoral Associate

I’m interested in the representations and computations that underpin reasoning and learning, especially in early childhood. My research spans various age groups and topics, focusing on key questions such as: How do infants and children decide what information to attend to? How do the developing minds interpret unexpected events? And how does explanation influence reasoning and learning?

Currently, I am a Postdoctoral Associate at MIT, co-advised by Josh Tenenbaum and Shari Liu. I completed my Ph.D. at Johns Hopkins, working with Lisa Feigenson. Before that, I obtained my M.A. at NYU and B.S. at Zhejiang University in China.

Joseph Outa [website] (2023 - )

Humans have a remarkable ability to reason and behave flexibly in the physical and social world. This stems from our ability to form abstract representations rooted in intuitive, domain-specific, causal knowledge about objects, agents, and their properties. I am interested in using behavioral and computational methods to study how this knowledge emerges in infancy and childhood.

Tal Boger [website] (2023 - )

I’m officially advised by Chaz Firestone, but also collaborate with the Liu Lab. I am interested in studying how the mind separates content and form, especially as it relates to how we understand the complexity of the world around us.

Keyu (Amber) Liu (2024 - )

I am broadly interested in how children and infants understand, reason, and learn about the world in relation to their social cognitive development. I received my B.A. in Psychology with an additional major in Data Science from Smith College in 2024.

Ziwen Wang (2025 - )

I am officially advised by Marina Bendy and am thrilled to have the opportunity to collaborate with the Liu Lab. I’m interested in understanding how humans intuitively reason about both physical and social events, the role of sensory experience in the processing of these events, as well as the underlying neural mechanisms. I earned my B.A. in Neuroscience and Behavior with a minor in Educational Studies from Vassar College.

Arushi Devgun (2024 - )

I have always been curious about how children interact with the physical world and in social settings. I am interested in the underlying neural mechanisms of these interactions, specifically how children develop the ability to reason with and process external stimuli.

Sam Maione [website] (2023 - )

I am interested in the way we think about structured social groups, and in particular, institutions. How do people think about institutions? How do people mentally represent the structure of institutions, and how does that structure influence the attributions we make about institutions? I received my B.S. in Integrative Neuroscience from SUNY Binghamton.

Nardos Eshetu (2024 - )

I am particularly interested in studying the neurological development of children and exploring how brain development shapes behavior and cognitive functions. Additionally, I am fascinated by understanding the impact of environmental influences on children, spanning from infancy through adolescence.

Jitong (Annie) Xian (2025 - )

I am interested in investigating how children develop the ability to perceive, understand, and represent external stimuli, as well as the cognitive and neural computations that underpin these abilities. I would also like to explore the application of computational techniques in cognitive science.

Zixin (Celine) Li (2025 - )

I am fascinated by how humans intuitively process physical and social information from their environment, effortlessly navigating a complex world and building social connections. I aim to explore the cognitive and neural mechanisms underlying these abilities.

Mayah Akanbi (2025 - )

I am interested in how children and infants engage with the world around them and how these early intuitions guide learning and behavior. I want to explore the cognitive and neural mechanisms that support intuitive reasoning and their development over time.

Andrew Suster (2025 - )

My curiosities lie in understanding the neural basis of cognition. I find it interesting how a large network of cells underlies everything we think about!