I study what we see. Beyond seeing the surface of the world (such as color, shape, and motion), I explore the possibilities that visual processes extract attributes that underlie the physical and social mechanics of the world. I ask questions like: Why do we like what we like? How are our minds “visible” to others? How can we see a towel as twisted rather than a fabric woven in an intertwining shape? In my free time, I am a proud mom of nearly a hundred guppy and platy fish (and a few snails).
I am interested in two broad research questions. What can someone’s language use tell you about who they are and how they think? What is the nature of the mental lexicon? My research draws from computational linguistics, corpus linguistics, quantitative linguistics, psychology, and psycholinguistics. I use observational studies of corpora – including representative academic corpora, social media, and other sources, as a supplement to traditional experimental methods in psychology, to pursue answers to both questions.
I received my B.S. in Cognitive Science from the University of California, San Diego. My primary research interest involves understanding how our visual system is able to perceive and understand sophisticated human actions and movements. By integrating computational modeling techniques and psychophysical and behavioral experimentation, I aim to gain a fine-tuned representation of how our visual system can support complex action understanding and reasoning. Currently, I am utilizing point-light displays to construct various biological actions, and plan to investigate impairments in action perception working in conjunction with clinical populations such as Autism and Schizophrenia.
I received my B.A. in psychology at New York University and an MSc in the philosophy of social science at the London School of Economics. Broadly, I am interested in mental representations in higher cognition. Humans are able to think and reason about themselves and others, their environment, fictional environments, and abstractions (e.g. mathematical systems) in a variety of ways. Mental representations can be thought of as the kinds of entities through which thoughts are “about” these things, and they are integral to a lot of psychological explanations. More specifically, I am interested in what phenomena like analogical reasoning, metaphor comprehension, and causal reasoning indicate about the human cognitive system and its representations.
I received my B.S. in Computer Science and Mathematics at the Hong Kong University of Science and Technology. I am broadly interested in Computer Vision and Computational Cognition. My previous work involves general computer vision tasks such as object detection, semantic segmentation, and domain adaptation. I am now interested in the development of reasoning ability in machine learning models and how relational representations are encoded in humans.
I study high-level cognition using computational and experimental approaches. I am particularly interested in causal reasoning, analogical reasoning, and decision-making.
|Yujia Peng||Assistant Professor, Peking University, China <webpage>|
|Gennady Erlikhman||Research scientist, Apple <webpage>|
|James Kubricht||Research Scientist, GE research <webpage>|
|Joseph Burling||Ohio State University <webpage>|
|Junzhu Su||Oracle <webpage>|
||Senior research scientist, ARMY Research Lab <webpage>
|Jeroen J. A. van Boxtel
||Associate Professor, Monash University, Australia <webpage>
||Associate Professor, Lingnan University, Hong Kong <webpage>
|Randall R. Rojas||Adjunct Associate Professor, Department of Economics, UCLA <webpage>|