Ahin Lee profile photo

Ahin Lee

Graduate student of Computer Science and Engineering (CSE), UNIST

ahin (at) unist.ac.kr · Ulsan, Korea · LinkedIn

I aspire to broaden my perspective through diverse experiences. I aim to develop innovative technologies that contribute to humanity's progress and make a meaningful impact on the world.

About

I am Ahin Lee (이아인), a 1st year M.S & Ph.D. student at Ubiquitous Artificial Intelligence Laboratory (UAI LAB), advised by Prof. Taesik Gong at UNIST.

I received my B.S. in Computer Science Engineering at UNIST in 2025.

Interests. AI, Efficient Adaptation, Ubiquitous Computing, Data Analysis, Bioinformatics

Publication

Associations of the gut microbiome with immune checkpoint inhibitor response across different cancer types and cohorts identified using random forest and language models

Junwon Yang, Hyun-Seok Oh, Taehee Lee, Ahin Lee, Mauricio Chalita, Sein Park, Yeonjae Jung, Jeongsup Moon, Laura Kang, Jongsik Chun

Journal for ImmunoTherapy of Cancer 2024;12:. 1265.

Honors

Best Paper Award

EIFCOM 2026 (co-located with MobiSys '26)

Education

Ulsan National Institute of Science and Technology (UNIST)

Sep 2025 - Present

M.S. & Ph.D. in Computer Science and Engineering

1st year M.S. & Ph.D. student at Ubiquitous Artificial Intelligence Laboratory (UAI LAB).

Ulsan National Institute of Science and Technology (UNIST)

Mar 2021 - Aug 2025

B.S. in Computer Science and Engineering

Received B.S. in Computer Science and Engineering in 2025.

Technische Universität Berlin (TU Berlin)

Jan 2025

Winter Program, Python for Data Analysis and Visualization

Winter School on Campus program.

Research Experience

CJ AI Center

Feb 2024 - Aug 2024

Research Intern

  • BGC classification
  • Biomarker detection
  • Drug responsiveness prediction

More

Teaching

  • 2026 1st Semester: CSE465 Mobile Computing Head TA
  • 2025 2nd Semester: CSE221 Data Structures Head TA
  • 2022 1st Semester: ITP107 Introduction to AI Programming I TA

Patents

  • "Apparatus and Method for Adapter Integration for Efficient Fine-Tuning of Artificial Intelligence Models, Artificial Intelligence Model Execution System Comprising the Same, and Artificial Intelligence Model Execution Method Thereof"

    Taesik Gong, Ahin Lee, Sehyun Yun, Joonha Park

    Korea Patent; Filing date: 2026.06.11, No.10-2026-0106289