I received my PhD in Computer Science at Columbia University, advised by Dr. Smaranda Muresan. My main research interest is in the ambiguity of visual descriptions - the choices people make when choosing how to communicate visual information, and how are those descriptions then understood? My research uses multimodal learning approaches with an emphasis on small-data solutions, focusing on unstructured natural text descriptions and fine-grained object categories. Currently, I am studying color and its usage across languages.
I won an ACL 2018 Best Short Paper Award with my paper Lighter Can Still be Dark: Modeling Comparative Color Terms. A video of the presentation is available here. Many thanks to the reviewers for their feedback, and to my advisor for her feedback and wonderful support.
My candidacy exam - both presentation and references list - is available here.
My thesis, titled "Seeing Red" or "Tickled Pink"?: Investigating the Power of Language and Vision Models through Color, Emotion, and Metaphor, will be available shortly