Sohyun Kim

Curriculum vitae

Sohyun Kim, Ph.D.

Senior Researcher, Department of Consumer Science, Seoul National University. Seoul, Republic of Korea.

shkim0422@snu.ac.kr LinkedIn

Short bio

For conference programs and introductions

Sohyun Kim is a Senior Researcher in the Department of Consumer Science at Seoul National University. She studies consumer technology adoption and use, changing consumption environments, and cross-cultural consumer behavior. Her research appears in Transportation Research Part F, the Journal of International Consumer Marketing, and Nutrition Research and Practice, among other venues. She also serves as an ISO technical expert on safety services for unmanned stores.

Education

Degrees

  • 2022 Ph.D., Consumer Science — Seoul National University, Seoul, Korea.
    Dissertation: Stepwise Technology Adoption by Consumers: Example of Autonomous Driving Technology.
  • 2017 M.S., Textiles, Merchandising and Fashion Design — Seoul National University, Seoul, Korea.
    Thesis: Analysis on Influential Factors of Consumer Needs in Fashion Using Generative Tools.
  • 2014 B.S., Textiles, Merchandising and Fashion Design — Seoul National University, Seoul, Korea.

Positions

Research appointments

  • 2025– Senior Researcher, Consumer Analytics Lab, Seoul National University.
    Development of international standards for safety services in unmanned stores.
  • 2022– Co-researcher, Consumer Information & Retailing Lab, Seoul National University, with the Rural Development Administration.
    Construction and analysis of big data linking agri-food consumption, nutrition, and health.
  • 2022–25 Co-researcher, Consumption and Lifelogging project, supported by the National Research Foundation of Korea.
  • 2021 Graduate Research Assistant, ETRI and Consumer Information & Retailing Lab, Seoul National University.
    Consumer evaluation of 3D point cloud technology.

Publications

Articles, presentations, and work in progress

Eleven peer-reviewed articles and five manuscripts in preparation, together with twelve conference presentations, are listed in full on the research page.

Full publication list

Honors

Awards

  • 2026 Excellence in Teaching Award, College of Human Ecology, Seoul National University.
  • 2024 Excellence Prize, Food Consumption Behavior Research Competition, Korea Rural Economic Institute.
  • 2024 Best Research Paper Award, Korean Society of Consumer Studies.
  • 2022 Excellence Prize, Doctoral Dissertation Competition, DMAC Interdisciplinary Conference.

Service

Service to the profession

  • 2026– Board Member, Korean Society of Consumer Policy and Education.
  • 2026 Session Moderator, “Longitudinal Financial Research,” American Council on Consumer Interests (ACCI) Conference, Long Beach, CA, USA.
  • 2025 Session Moderator, “Financial Literacy,” 15th Biennial Conference of the Asian Consumer and Family Economics Association (ACFEA), Hanoi, Vietnam.
  • 2024– Ad hoc reviewer — Journal of Consumer Studies; Consumer Policy and Education Review; The Korean Journal of Consumer and Advertising Psychology; Journal of Consumption Culture.

Professional experience

  • 2025– ISO Technical Expert, Korean Agency for Technology and Standards (KATS).
    Member, ISO/TC 344/SC 1. Contributor to working drafts and technical reports on unmanned stores.

Skills

Research methods

Quantitative

  • Cross-sectional: linear regression, structural equation modeling, cluster analysis
  • Longitudinal: panel data analysis including correlated random effects (CRE), time series, survival analysis, latent growth curve modeling
  • Causal inference: directed acyclic graphs
  • Machine learning: logistic and penalized regression (ridge, LASSO), tree-based models including XGBoost, time series forecasting

Qualitative & mixed

  • Interview design; content analysis with a phenomenological approach
  • Mixed methods; survey development
  • MAXQDA

Software & certification

  • R, Python, STATA
  • TensorFlow Developer Certificate, Level 1, Google (2022)

Training

Professional training

Statistical modeling

  • 2026 Special Lecture Series in Health and Medical Statistics (R) — Institute for Data Innovation in Science, Seoul National University. Logistic regression, survival analysis, propensity score methods, IPW, matching, causal inference, DAGs.
  • 2024 Hierarchical Linear Models using STATA — Korean Social Science Data Archive (KOSSDA), Seoul National University.
  • 2023 Event History Analysis using STATA — KOSSDA, Seoul National University.
  • 2022 55th R Public Lecture Series — Institute for Data Innovation in Science, Seoul National University. Bayesian statistics and multilevel models; categorical data analysis and epidemiological research design.
  • 2022 Panel Data Analysis using STATA — KOSSDA, Seoul National University. Panel data structure, between/fixed/random effects models, categorical dependent variables.
  • 2021 Introduction to Categorical Data Analysis — KOSSDA, Seoul National University.
  • 2021 53rd R Public Lecture Series — Institute for Data Innovation in Science, Seoul National University. Advanced regression, classification, multivariate analysis, decision trees and ensemble methods.
  • 2021 Structural Equation Modeling — Seoul National University Lifelong Education Institute.

Causal inference and research design

  • 2025 Understanding Causal Inference, Winter Workshop — Department of Consumer Science, Seoul National University.
  • 2024 Causal Inference using STATA — KOSSDA, Seoul National University. Randomized experiments and observational studies; propensity score methods, instrumental variables, difference-in-differences, regression discontinuity.
  • 2023 Experimental Research Methods in the Social Sciences — KOSSDA, Seoul National University. Survey, laboratory, lab-in-the-field, field, and natural experiments; experimental data analysis.
  • 2023 Causal Mediation Analysis: Concepts and Applications — College of Education, Seoul National University.
  • 2022 Quantitative Research and Causal Inference: A Causal Graph Approach; Understanding Statistical Analysis using Causal Graphs — College of Education, Seoul National University.

Machine learning and big data

  • 2025 Reasoning, Knowledge Integration, and Image Analysis using Large Language Models — Workshop of the Korea Society of Management Information Systems.
  • 2025 Machine Learning for Causal Inference — Workshop of the Korea Society of Management Information Systems.
  • 2024 K-Digital Training Program, Advanced Expert Course in AI and Fintech — Seoul National University. Project: bond credit spread prediction model using time series forecasting and statistical modeling (Kyobo Securities).
  • 2023 Big Data Analysis using Web Data with R — KOSSDA, Seoul National University.
  • 2022 Deep Learning with Python — Seoul National University Lifelong Education Institute.
  • 2021 Big Data and Machine Learning for Social Scientists — KOSSDA, Seoul National University.

Qualitative methods

  • 2021 Qualitative Research Design and Qualitative Data Analysis using MAXQDA — KOSSDA, Seoul National University.