Hye Sun Yun

Computer Science PhD candidate at Northeastern University (she/her)

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177 Huntington/EXP 760

Boston, MA

Hello!

My name is Hye Sun Yun (윤혜선 in Korean).

I am a Computer Science PhD candidate at Northeastern University in the Khoury College of Computer Sciences. I work on Human-Computer Interactions (HCI) and Natural Language Processing (NLP), mainly on applications in health. I am co-advised by Timothy Bickmore and Byron Wallace. I am interested in human-centered AI and applying HCI and NLP research methods to meet the needs, interests, preferences, and requirements of end users. I love collaborating with diverse domain experts in multi/interdisciplinary projects tackling real-world problems.

Before starting my PhD in fall of 2020, I worked as a full-stack software engineer/manager for three years at Wayfair. I earned my bachelor’s in Computer Science and Africana Studies at Wellesley College.

I love playing Ultimate Frisbee, running, cooking, and baking. A couple of years ago I completed Reddit’s 52 weeks of cooking challenge. You can read all about my cooking adventures in my cooking blog.

If you are interested in knowing more about my research or want to chat about CS PhD application process, please schedule a time with me here or feel free to email me!

news

Jul 28, 2024 I am thrilled to announced that Automatically Extracting Numerical Results from Randomized Controlled Trials with Large Language Models has been accepted for publication at the Machine Learning for Healthcare 2024 conference.
Jul 4, 2024 Our paper Keeping Users Engaged During Repeated Interviews by a Virtual Agent: Using Large Language Models to Reliably Diversify Questions has been accepted for publication at the 24th ACM International Conference on Intelligent Virtual Agents.
May 20, 2024 I will be interning at Truveta this summer working on clinical data extraction using LLMs with the ML/AI team!
Oct 18, 2023 I have been accepted to present at the Cutting-Edge Connections in PhD Research: Healthcare Today which will be happening at Northeastern University on November 17th. I will be presenting my recent work on using large language models to generate diverse mental health questionnaire versions while retaining good psychometric properties.
Oct 7, 2023 “Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews” has been accepted to EMNLP 2023!