YJ Choe
Research Scientist at Kakao
PhD Student (on leave) at Carnegie Mellon University
Hi there!
I am a research scientist at Kakao, where I work on deep learning and natural language processing. I am also a PhD student currently on leave from the Machine Learning Department and the Department of Statistics & Data Science at Carnegie Mellon University, where I've worked with Aarti Singh, Sivaraman Balakrishnan, and Timothy Verstynen on high-dimensional statistical inference for neuroscience. Before starting my PhD, I did my undergraduate in Mathematics and Computer Science at the University of Chicago, where I worked with John Lafferty and at the Knowledge Lab.Check out my research page for a selection of my current and previous projects.
Updates
- 2018/12: Our paper "Discovery of Natural Language Concepts in Individual Units" got accepted to the International Conference on Learning Representations (ICLR) 2019! This is joint work with my wonderful collaborators Seil Na, Dong-Hyun Lee, and Gunhee Kim.
- 2018/12: I started a blog! Read more about it here.
- 2018/10: Our paper "Local White Matter Architecture Defines Functional Brain Dynamics" won the Franklin V. Taylor Memorial (Best Paper) Award at the IEEE Conference on Systems, Man, and Cybernetics (SMC) 2018! I am truly grateful to my advisors and collaborators Siva Balakrishnan, Aarti Singh, Jean Vettel, and Tim Verstynen.