About me
I am currently working at Yoolmu, a startup.
Previously, I worked on HCI and AI research at Columbia* and Seoul National University**. I was also an engineer at Sendbird and the South Korean intelligence sector. I received my MS in Computer Science at Columbia, where my thesis was on using generative language models for personalized learning. I completed my undergraduate degrees in Economics and Computer Science at Yonsei University.
I was born in Seoul. I have also lived in New York, Shanghai, and Taipei.
*Computational Design Lab, advised by Prof. Lydia Chilton
**Human-Centered Computer Systems Lab, advised by Prof. Youngki Lee
Publications
Interfaces for Personalized Language Learning with Generative Language Models. Taeahn Kwon. MS Thesis, Columbia University (2023). Thesis committee: Lydia B. Chilton (Columbia), Brian A. Smith (Columbia), Saavas Petridis (Google).
Captivate! Contextual Language Guidance for Parent–Child Interaction. Taeahn Kwon, Minkyung Jeong, Eon-Suk Ko, Youngki Lee. ACM Conference on Human Factors in Computing Systems (CHI 2022). Best Paper Honorable Mention Award*.
*Top 5% of all submitted papers
For a full list of publications, please see my Google Scholar page.
Projects
These are some of the more casual and fun projects I've worked on, often with friends.
SimSquare (2023): Simulating realistic customer feedback with LLMs. This was a hackathon project done with Daniel (Yongkyun) Lee and Alex Pan.
Magic Canvas (2023): A StableDiffusion-powered iPad drawing app.
Confidence Boost (2021): An Alexa app that helps you build confidence when you need it. A fun project built with Cameron for Advanced Web Design Studio.
Optimizing CUDA for CNNs (2020): In one of my favorite projects during undergrad, I competed in a class competition to optimize the inference speed of a CNN on GPU. Link to report.
Goondanchook (2018): A web app that calculates when one will be discharged from military service based on newly passed laws. Though very simple, it averaged over 10K visitors per month.
AI English Pronunciation Coach (2017): I released an Android app that evaluates the user's English pronunciation using speech recognition.
Phlip! (2016): An app that measures how long you've focused without being distracted by your phone by detecting when it is laying face-down. It was the #1 trending post in the /r/androidapps subreddit for a few days.
