Researcher, Language AI, Mobile eXperience, Samsung Electronics. Jan. 2025 –
Applied AI research
Explainable AI for decision making
Brain-inspired / Human-like AI system
Multimodal learning for brain-computer interface (BCI)
Ph.D. in Human Factors Engineering, UNIST, South Korea, Feb. 2021
Neuromarketing on brand extension evaluation: from neural data analyses to deep learning-based applications
Bachelor's Degree (Dual majors), UNIST, South Korea, Feb. 2015
Affective and Human Factors Engineering
Engineering and System Design
Researcher
Language AI, Mobile eXperience, Samsung Electronics, Suwon, Korea. Jan. 2025 – Present
Researcher
Adrec ranking, Advertisement recommendation team, Kakao Corp, Seoul. Korea, Apr. 2023 – Jan. 2025
CM Modeling, Advertisement recommendation team, Kakao Corp, Seoul. Korea, Jul. 2023 – Mar. 2024
KS TF, Applied analysis team, Kakao Corp, Seoul. Korea, Dec. 2022 – Jul. 2023
Researched LLM for user embedding
Senior Data scientist & Researcher
Data science cell, Hana Institute of Technology, Seoul. Korea, Apr. 2021 – Dec. 2022
Defined/concrete ML research directions from ambiguous requirements through communication with stakeholders as a project manager
Analyzed diverse data in the financial sector (e.g., user's app activity log, structural (tabular) data from diverse sources, time series stock data)
Developing an explainable ML model to automate loan approval decision making system and credit scoring system (CSS) for corporations
Developed a data synthesis algorithm for small and imbalanced dataset
Developed an explainable anomaly detection algorithm, which provide an individual feature importance for each sample, for risk management system
Developed a user profiling model and similarity-based pattern matching algorithm to search risky customers
Developed an impurity-based business index to quantify both diversity and activity of users’ app usage
Developed user profiling indices based on individual’s app activities
Research Assistant
Brain-Computer Interface Lab, UNIST, Ulsan, Korea (Advisor: Dr. Sung-Phil Kim), Mar. 2015 – Feb. 2021
Developed ML/DL-based BCI applications using EEG/fMRI signals
DL-based fMRI analysis for consumer attitude prediction models
ML-based adaptive LED modulation system with EEG
ML-based non-verbal communication system using EEG
ML-based EEG biometrics system
ML-based driver condition prediction system using EEG
Devised ML/DL-based brain data analysis methods
DL-based brain activity visualization method
ML-based fMRI connectivity analysis method
Investigated a consumer’s cognitive process by analyzing EEG/fMRI
Investigated neurophysiological responses to the LED light environment
Investigated the sequential effect on vision task (size classification)
Research Assistant (Undergraduate)
Brain-Computer Interface Lab, UNIST, Ulsan, Korea (Advisor: Dr. Sung-Phil Kim), Sep. 2013 – Feb. 2015
Developed an EEG-based status monitoring system to evaluate TV commercial
Interactions Lab, UNIST, Ulsan, Korea (Advisor: Dr. Ian Oakley), Jun. 2013 – Aug. 2013
Developed interaction game using magnetic token for children
Teaching Assistant
Design Elements and Principles, Sep. 2017 - Dec. 2017
Introduction to Human factors engineering, Mar. 2015 – Jun. 2015
Visiting Lecturer
LG electronics Mobile Communications Laboratory, Seoul, South Korea, Jun. 2015 - Jul. 2015
Introductions to use EEG in evaluating user experience
Developed UX evaluation software based on quantitative EEG (QEEG)
The others
Selected as a participant in 2016 Human Science Summer School, Kyushu university, Fukuoka, Japan [CFP], Aug. 2016 - Sep. 2016
Analyzed actigraphy response to monitor human rest/activity cycles (Advisor: Dr. Shigekazu Higuchi)
Analyzed pupilary response in different light color and irradiance conditions (Advisor: Dr. Tomoaki Kozaki)
Student president of school of Design and Human factors Engineering , Jan. 2013 - Dec. 2013
TEDxUNIST, Sep. 2011 - Dec. 2012
Organizer (2011) and director (2012)
1st prize, Medical (ophthalmology) track, AI Problem Solving Contest 2020, Dec. 2020
National IT Industry Promotion Agency
Development of a decision support system for vision correction treatment based on corneal topography and optical biometer at the anterior segment and optical coherence tomography at the posterior segment
4th prize, AI Track, Digital Health Hackathon 2020, Sep. 2020
Samsung Advanced Institute for Health Sciences & Technology
Development of decision support system for personalized treatment
Nine bridge & Star Fellowship, Aug. 2015 – Jul. 2018
Ulsan National Institute of Science and Technology
R&D Scholarship (25,000,000 KRW * 3 years)
Brain Korea 21+, Mar. 2015 – Present
National Scholarship for excellent student in Science and Engineering, Mar. 2011 – Feb. 2015
Korea Student Aid Foundation
Full scholarship for undergraduate period
Big data Analysis Expert, Jul. 2021 -
SQL Developer, Jun. 2021 -
Advanced Data Analytics Semi-Professional (ADsP), Jul. 2020 -