Soojin Lee

Human-Centered AI researcher · Applied AI artifact builder

I build and study AI systems that help people judge what evidence means in context.

Visiting Scholar · iLab, Sungkyunkwan University

I study how people judge the applicability of evidence in AI-mediated work. My work connects organizational experience reuse, differing perspectives, and applied machine learning into practical decision support.

More about my background ↗

Short bio

2026–present
Visiting ScholariLab, Sungkyunkwan University
2024–2026
M.S. in Data ScienceKyungpook National University
2012–2020
B.A. in Business AdministrationKyungpook National University

Research on judgment in context.

When does past experience apply—and how can differing perspectives stay visible?

Manuscript in Preparation Journal Article

When can organizational experience be reused?

AI-mediated mentoring support

Working title for a continuing manuscript; submission is expected in January 2027. This is separate from the accepted HICSS paper.

My contribution:

Interactive prototype design and implementation for this continuing output, as documented separately in the CV.

Read the Research Story

Ongoing Research Conceptual

Keeping differing perspectives connected to customer evidence.

Graph Engineering with Multi-Agent Systems for Business.

I am developing an approach to connect customer opinions with their usage contexts, tradeoffs and source evidence, so people can inspect why perspectives differ.

Conceptual structure
  1. Evidence in context
  2. Recurring perspectives
  3. Context-sensitive relations
My contribution:

I am not sure yet what my final contribution will be, but I am excited to develop this with people from many backgrounds and perspectives and publish it.

Read the Research Story

Selected publications.

Accepted Conference paper

Governing Organizational Experience Reuse in AI-Mediated Mentoring Support: A Case Study of JUMP

Soojin Lee*, Woojin Lee*, Jihoon Jang, Janghoon Choi, Hangjung Zo

* Equal contribution. † Corresponding author.

Hawaii International Conference on System Sciences (HICSS-60) · 2027

Published Journal article

Machine Learning Model for Recurrent Lumbar Disc Herniation after Lumbar Discectomy

Seung Yeop Kang*, Soo Jin Lee*, Suhyeon Kim, Sung Hyeon Noh

* Equal contribution. † Corresponding author.

Journal of Korean Neurosurgical Society · 2026 · 69(3): 441–450

First published online: 2025-10 · Issue publication: 2026-05

Design and Product

Earlier product and interface work shaped my interest in how people move from information to decisions.

Design & Product · Team project · 2023

STEEL CUT

A scrap-price forecasting dashboard that organized headline indicators, supporting data and explanatory help. I served as project manager on a five-person team.

Explaining, learning, and exchanging ideas.

Teaching and mentoring connect my research questions with the practice of explaining complex information.

Data Analysis Freshmen Bootcamp

Invited Lecturer · Department of ICT Convergence, Kyungpook National University

DGB iM Digital Banker Academy (6th Cohort)

Affiliated Mentor · Daegu Bank (DGB) iM Digital Banker Academy