I am a fourth-year Ph.D. student in the Department of Linguistics at New York University. I am also serving as the organizer of Syntax Brown Bag, a series of syntax talks at NYU, and as the organizer of ML² Reading Group, a bi-weekly reading group on deep neural network models for natural language processing (NLP) and natural language understanding (NLU). I am not a wallaby.

I am interested in the syntactic structure of natural language and its accompanying interpretation. Recently, I have been trying to formulate the meaning of permission based on Korean and Japanese data, which provide morphosyntactic evidence that permission is something more than modal possibility. I am also developing a parsing-based model of presupposition projection which is robust to crosslinguistic variation in word order. More specifically, the model is not sensitive to linear order but rather to the order of evaluation. I make a connection to continuation semantics in fleshing out the idea. Prior to these projects, I have worked on the syntactic aspects of Korean pro-form kuleh. In this work, I show that the size of ellipsis correlates with possibilities in extraction, leading to the conclusion that syntactic configuration plays a crucial role in ellipsis.

While many of my projects take common theoretical assumptions (Merge, Agree, possible worlds, and so on) for granted, I am also interested in computationally implementing the language faculty with an emphasis on how to link lower-level representations to higher-level abstract behaviors. In fact, I have always been interested in connecting lower-level entities to higher-level concepts: from circuit theory to transistors, from transistors to logic gates, from logic gates to adders, and eventually from machine languages to high-level programming languages. I believe that natural language inference is in the heart of natural language understanding, as knowing the entailment relations leads to knowing the meaning of an expression. I am currently developing a model that better represents semantic composition under the distributional hypothesis and using the techniques from deep learning.

Before I was introduced to linguistics, I was trained as an engineer at Seoul National University and received B.S. in Electrical and Computer Engineering. I worked at CDNetworks for 3 years as a program developer, developing and maintaining user interface, download manager, peer-to-peer application, and anti-reversing module. Most of my projects were carried out in C++ and inline assembly.

Outside of linguistics, I usually feed my newborn daughter and hold her for hours until she falls asleep. I'm an expert in changing diapers.

You can view my CV here (updated 3/27/2018).