Ahhyun Lucy Lee

Integrated M.S. and Ph.D. Student in Brain & Cognitive Sciences

Exploring the intersection of neuroscience, AI, and human cognition at Seoul National University (Connectome Lab). Currently a Visiting Student Research Collaborator at Princeton University in Hasson Lab.

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Ahhyun Lucy Lee

About Me

I'm an Integrated M.S. and Ph.D. student in Brain and Cognitive Sciences at Seoul National University (Connectome Lab, advised by Prof. Jiook Cha), passionate about understanding the brain through the lens of artificial intelligence and computational neuroscience. My research focuses on EEG analysis, neuroimaging, and developing foundation models for brain signals.

I'm currently a Visiting Student Research Collaborator at Princeton University, working in Hasson Lab (Department of Psychology).

With a background in Life Science and Computer Science Engineering from POSTECH, I bridge biological understanding with computational methods to tackle challenging problems in neuroscience and psychiatry.

Education

Visiting Student Research Collaborator, Department of Psychology

Princeton University

Apr 2026 - Sep 2026

Integrated M.S. and Ph.D. Program in Brain and Cognitive Sciences

Seoul National University

Sep 2024 - Present

BS in Life Science (Major), Computer Science & Engineering (Minor)

POSTECH

Mar 2019 - Aug 2024

Non-degree Exchange Semester - Department of Psychology

University of Illinois Urbana-Champaign

Jan 2023 - May 2023

Honors & Awards

National Science and Engineering Undergraduate Scholarship

Full-ride national scholarship (KOSAF) for future scientists and engineers

Mar 2019 - Aug 2024

Genexine Research Award

Awarded to top undergraduate researchers for outstanding achievement

Apr 2021

Research & Publications

† First author    * Corresponding author

Publications

DIVER-1: Deep Integration of Vast Electrophysiological Recordings at Scale

Danny Dongyeop Han†, Yonghyeon Gwon†, Ahhyun Lucy Lee†, Taeyang Lee, Seongjin Lee, Jubin Choi, Sebin Lee, Jihyun Bang, Seungju Lee, David Keetae Park, Shinjae Yoo*, Chun Kee Chung*, Jiook Cha*

Under review

DIVER-0: A Fully Channel Equivariant EEG Foundation Model

Danny Dongyeop Han†, Ahhyun Lucy Lee†, Taeyang Lee†, Yonghyeon Gwon†, Sebin Lee†, Seongjin Lee†, David Keetae Park, Shinjae Yoo*, Jiook Cha*, Chun Kee Chung*

preprint arXiv:2507.14141 (2025)

arXiv

Exploring the diagnostic potential of EEG theta power and interhemispheric correlation of temporal lobe activities in Alzheimer's Disease through random forest analysis

Ahhyun Lucy Lee†, Eunjin Hwang* & Jeongeun Hwang*

Computers in biology and medicine, 192, 110248 (2025)

DOI

NeuroBabyLM: A Benchmark for Brain Alignment in Language Models Trained on Developmentally-Plausible Datasets

Ahhyun Lucy Lee†, Danny Dongyeop Han†, Nikunj Agarwal, Kijung Son, Jiook Cha*

CCN 2026 (Poster, accepted)

Poster

Few-Shot Deep Learning Reveals Brain-Based Markers of PTSD of Sexually Assaulted Adolescents

Seoyoung Lim†, Ahhyun Lucy Lee, Ana Carolina Coelho Milani, Jiook Cha*

In progress

Enhancing psychiatric disorder diagnosis: integrating multilabel metadata with contrastive learning on T1 structural MRI

Danny Dongyeop Han†, Ahhyun Lucy Lee†, Junbeom Kwon, Jiook Cha*

In progress

Conferences

DIVER-0: A Fully Channel Equivariant EEG Foundation Model

Danny Dongyeop Han†, Ahhyun Lucy Lee†, Taeyang Lee†, Yonghyeon Gwon†, Sebin Lee†, Seongjin Lee†, David Keetae Park, Shinjae Yoo*, Jiook Cha*, Chun Kee Chung*

ICML 2025 Workshop on GenBio (Spotlight)

arXiv

Enhancing psychiatric disorder diagnosis: integrating multilabel metadata with contrastive learning on T1 structural MRI

Danny Dongyeop Han†, Ahhyun Lucy Lee†, Junbeom Kwon, Jiook Cha

OHBM 2025 (Poster)

Poster

Exploring the Diagnostic Potential of EEG Theta Power and Interhemispheric Correlation of Temporal Lobe Activities in Alzheimer's Disease through Random Forest Analysis

Ahhyun Lucy Lee†, Eunjin Hwang* & Jeongeun Hwang*

SMB 2024 (Poster)

DOI

The Impact of Low Motion Smoothness on Auditory Processing

Ahhyun Lucy Lee†, Jinhee Kim, You Jeong Hong, Kyung Myun Lee*, Kyogu Lee*

ICMPC17 (Oral)

Paper

Research Experience

Internship at Lablup

Opensource cloud computing and AI service company

Jan 2024 - Aug 2024

Conducted research on exploring the diagnostic potential of EEG theta power and interhemispheric correlation of temporal lobe activities in Alzheimer's Disease through random forest analysis.

Internship at MARG (Music and Audio Research Group, SNU)

Seoul National University

Jul 2021 - Aug 2023
  • Conducted independent research on "Effect of Beat Coordination of Simultaneous Dance Stimuli on Sound Perception in Audiovisual Dance," developing a real-world observation into a novel research question
  • Designed and implemented experimental paradigm using PsychToolbox in MATLAB
  • Performed statistical analysis in R and presented findings at ICMPC17

Highlighted Projects

DIVER-CLIP

2025 - Present

Trimodal foundation model aligning EEG brain signals, audio, and text into a shared representation space. Currently under review (author list anonymized for now).

EEG Foundation Model Multimodal CLIP

Auditory Loudness Perception Study

Jun 2020 - Jul 2020

Led a team project investigating the effect of imagination on auditory loudness perception. Organized the entire research process from experiment design to analysis, discovering reverse effects compared to the original study.

Neuroscience Psychology Research

Personalized Vitamin Recommendation System

Jan 2023 - May 2023

Developed a data-driven system to recommend vitamins based on dietary habits, height, and weight. Conducted comprehensive literature review on nutritional science and built analysis tools using R.

Data Science R Nutrition

Google Data Analytics Capstone

Aug 2023

Completed comprehensive capstone project demonstrating data analysis skills including data cleaning, visualization, and deriving actionable insights.

Data Analytics Visualization

Skills

Programming Languages

Python R MATLAB C C++

Languages

Korean (Native) English (Professional - TOEFL 107/120)

Neuroscience

• Language and the Brain

• Developmental Cognitive Neuroscience

• Principles of Neuroscience

• EEG Analysis

• Neuroimaging

Computer Science & AI

• Machine Learning and Deep Learning

• Computer Vision

• Natural Language Processing

• Data Science

Activities

Beyond research, I'm passionate about dance and community involvement. Dance helps me stay creative and connect with diverse communities.

Ctrl-D (Street Dance Club)

POSTECH

Mar 2019 - Present

Active member participating in various dance performances across campus and community events.

Imagination Dance Crew

UIUC, Champaign, IL

Jan 2023 - May 2023

Performed in shows and a competition during exchange semester, and choreographed a piece.

BCSC President

Brain Cognitive Science Community

Sep 2021 - Feb 2023

Led the Brain Cognitive Science Community, planning and organizing semestral conferences. Developed skills in academic event coordination and member communication.

Student Mentor

POSTECH Life Science

Sep 2020 - Jun 2022

Taught General Life Science to freshmen through the Student Mentoring Program, helping new students transition to university-level biology.

Get In Touch

I'm always interested in collaborations, research opportunities, or just connecting with fellow researchers and dancers!

Email

ahhyun724@snu.ac.kr

GitHub

@yahyunee

LinkedIn

Ahhyun Lucy Lee

Location

Princeton, NJ (Apr - Sep 2026)
Seoul, Korea