Hye Sun Yun
Assistant Professor, Computer & Data Science, Lafayette College
Hello! đ
My name is Hye Sun Yun (ì€íì in Korean).
I am an Assistant Professor in the Computer Science Department and the Data Science Program at Lafayette College. My work lies at the intersection of Human-Computer Interactions (HCI) and Natural Language Processing (NLP), with a focus on health applications.
I am interested in responsible and human-centered AI and applying HCI and NLP methodologies to align interactive systems with end usersâ needs, interests, preferences, and requirements. Specifically, my research focuses on building and evaluating language technologies to improve access to health and medical research information.
I completed my PhD in Computer Science at Northeastern Universityâs Khoury College of Computer Sciences, where I was co-advised by Timothy Bickmore and Byron Wallace. Previously, I worked as a full-stack software engineer/manager for three years at Wayfair. I earned my bachelorâs in Computer Science and Africana Studies from Wellesley College.
Outside of work, I love playing Ultimate Frisbee, swimming, running, biking, cooking, and watching movies on the big screen. I once completed Redditâs 52 weeks of cooking challenge. You can read all about my cooking adventures in my cooking blog.
Please feel free to email me if youâd like to discuss my research, CS Ph.D. applications, or faculty jobs at small liberal arts colleges!
news
| Aug 13, 2026 | I am excited to start teaching at Lafayette College! This fall semester, I will be teaching DS 201 (Principles of Data Science) and CS 110 (Introduction to Computer Programming). |
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| Jun 23, 2026 | I defended my doctoral proposal! The title of my thesis is âLLMs for Consumer Health Information: Understanding Users and Models for Responsible Health AIâ. I would like to thank my committee members: Tim Bickmore, Byron Wallace, Mai ElSherief (Northeastern), and Emma Pierson (UC Berkeley). |
| Oct 07, 2025 | I defended my thesis proposal! The title of my thesis is âAdvancing Health Information Access with LLMs: Understanding Users and Models for Responsible Health AIâ. |
| Aug 02, 2025 | This fall semester, I will be co-teaching DS 2500 (Intermediate Programming with Data) at Northeastern University alongside Deahan Yu as an instructor of record. |
| Jun 25, 2025 | I will be attending this yearâs AHLI Conference on Health, Inference, and Learning (CHIL) conference at Berkeley, CA. During the poster session tomorrow (June 26), I will be presenting our paper Caught in the Web of Words: Do LLMs Fall for Spin in Medical Literature?. |
| Jun 12, 2025 | Today, I gave a talk on my two most recent research papers (CHI and CHIL) at Wellesley Collegeâs Computer Science Department. |
| May 26, 2025 | I will be attending the 2025 CSST Summer Research Institute in the Adirondacks. |
| Apr 16, 2025 | Our paper Caught in the Web of Words: Do LLMs Fall for Spin in Medical Literature? has been accepted at AHLI Conference on Health, Inference, and Learning (CHIL) 2025 conference. |
| Apr 08, 2025 | I will be giving a remote research talk titled âBeyond Hallucinations: Unveiling Hidden Dangers of LLMs in Health Information Accessâ at Clemson Universityâs School of Computing Seminar on April 18, 2025 (2:30-3:30 pm). The slides for the talk can be accessed here. |
| Mar 31, 2025 | Our paper Online Health InformationâSeeking in the Era of Large Language Models: Cross-Sectional Web-Based Survey Study is finally published in the Journal of Medical Internet Research (JMIR)! |
| Mar 29, 2025 | Framing Health Information: The Impact of Search Methods and Source Types on User Trust and Satisfaction in the Age of LLMs has been accepted as Late Breaking Work in CHI 2025! See you in Japan soon. |
| Jan 04, 2025 | This spring I am the Instructor of Record for a special topics course â Research in Human-Centered NLP (CS4973/CS6983) â at Northeastern. |
| 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 04, 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! |