Hye Sun Yun

Assistant Professor, Computer & Data Science, Lafayette College

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Hello! 👋

My name is Hye Sun Yun (윀혜선 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 users’ 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 University’s 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 bachelor’s 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 Reddit’s 52 weeks of cooking challenge. You can read all about my cooking adventures in my cooking blog.

Please feel free to email me if you’d 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).
Jun 23, 2026 I defended my doctoral proposal! The title of my thesis is “LLMs for Consumer Health Information: Understanding Users and Models for Responsible Health AI”. 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 “Advancing Health Information Access with LLMs: Understanding Users and Models for Responsible Health AI”.
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 year’s 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 College’s 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 “Beyond Hallucinations: Unveiling Hidden Dangers of LLMs in Health Information Access” at Clemson University’s 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 Information–Seeking 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 — Research in Human-Centered NLP (CS4973/CS6983) — 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!