Members
Advisor: Dr. Wen-Syan Li
Dr. Wen-Syan Li joined the Graduate School of Data Science, SNU as a Full Professor in March 2020 and became a Foreign Fellow of the Brain Pool Program under the National Research Foundation of Korea in June 2020. Before joining SNU, he was Senior Vice President of SAP SE and Head of SAP Customer Innovation & Strategic Projects – Asia Pacific, Japan, & Greater China. His team worked on the new applications in the area of digital supply chain and strategic engagements with key accounts such as Huawei, NTT, Intel, and Lenovo in the area of IoT and SAP Hana. His team was also responsible for building Predictive Analytics capabilities in SAP’s in-memory database HANA. He received a Ph.D. degree in Computer Science from Northwestern University (USA). He also has an MBA degree in Finance. Before joining SAP, he was with IBM Almaden Research Center located, NEC Research, and NEC Venture Capital in the USA. He has co-edited 3 books published by Springer, co-authored more than 100 journal articles and conference papers in various areas, and co-invented 82 granted US patents. His research interests include ML/DL, human-in-the-loop AI, machine learning life cycle management & automation, big data & knowledge management, and applying machine learning on solving real-world problems.
Professor Wen-Syan Li’s research is supported by the funding from
SNU New Faculty Startup Fund (2020.04 ~ 2023.02)
Korea NRF Brain Pool Program (2020.07 ~ 2022.12 / 2023.07 ~ 2025.12)
Korea BK21 Program (2020.03 ~ current)
NH Investment Bank (2021.07 ~ 2022.07)
SK Networks (2020.11 ~ 2021.10)
Private Donation for Piano Performance Analysis Project (2021.03 ~ 2023.02)
SNU Funding for Cross-Disciplinary Humanity Project (2022.09 ~ 2024.02)
IITP 2023 Autonomous Driving Technology Development Innovation Project (2023.04 ~ 2025.12)
NRF 2023 Group Research Support Project - Engineering Research Center(ERC) (2023.06 ~ 2030.02)
Current Members
Jisoo Jang, 장지수
Ph.D. Student
Education
BS, Economics and Finance, Hanyang University,
2010.03 ~ 2018.08Master of Data Science, Seoul National University,
2020.03 ~ 2022.02Ph.D. Student, Seoul National University,
2022.03 ~
Work Experience
MOOC AI Team, Naver Connect,
2018.02 ~ 2019.08
Interests
Human In The Loop ML, Explainable AI, NLP
Applications for Machine Learning
Recent Works:
(Paper) Toward Interpretable Machine Learning: Constructing Polynomial Models Based on Feature Interaction Trees, PAKDD 2023 (acceptance ratio 17.27%)
(Contest) The 11th Ministry of Trade, Industry, and Energy Public Data Utilization BI Contest - 3rd prize in the "Public Domain" Area
(Korea Patent Pending) System and Method for Accelerating Learning with a Combination of Pre-selected Targets
(Korea Patent Pending) System and Method for Fusion Data-Driven Training with Customized Rules and Feedback on Inferences
Sites
Readme page: https://bit.ly/readme-jisoo
Joohyun Lee, 이주현
Ph.D. Candidate
Education
BS, Electrical and Computer Engineering, Seoul National University,
2012.03 ~ 2016.08
Interests
DBMS, Planning
Hyerim Jeon, 전혜림
Ph.D. Candidate
Education
BS, Electrical and Computer Engineering, Seoul National University,
2013.03 ~ 2018.02
Interests
DBMS, Graph Database, Planning
Tien-Cuong Bui (Alex Bui)
Ph.D. Candidate
Education
BS, Hanoi University of Science and Technology, Vietnam
2009 ~ 2015
Master of Electrical and Computer Engineering, Seoul National University
2017 ~ 2019
Ph.D. Candidate, Seoul National University
2019 ~ now
Working Experience
Software engineer, Olbius Vietnam (2014.08 - 2016.07)
Research Intern, Big Data Institute, SNU (2017.03 ~ 2017.08)
Recent Works:
(Conf) Human-driven Active Verification for Efficient and Trustworthy Graph Classification, PAKDD 2024
(Conf) Toward Interpretable Graph Classification via Concept-Focused Structural Correspondence, RAFDA Workshop - PAKDD 2024
(Conf) Towards Interpretable Graph Neural Networks via Concept Matching Model, IEEE ICDM 2023 (acceptance rate 19.94%)
(Journal) Efficient ML Lifecycle Transferring for Large-scale and High-dimensional Data via Core Set-based Dataset Similarity, IEEE Access (Q1 IF 3.476 ~ 2022)
(Journal) Generative Real-time Explanations for GNNs via Multi-specialty Learners and Online Knowledge Distillation, IEEE Access (Q1 IF 3.476 ~ 2022)
(Conf) Toward Interpretable Machine Learning: Constructing Polynomial Models Based on Feature Interaction Trees, PAKDD 2023 (acceptance ratio 17.27%)
LE VAN DUC
Ph.D. Candidate
Education
BS, Hanoi University of Science and Technology, Vietnam,
2003.08 ~ 2008.07Master of Electrical and Computer Engineering, Seoul National University,
2016.09 ~ 2019.02Ph.D. Candidate, Seoul National University,
2019.09 ~
Work Experience
Software Senior Developer, Viettel Group, Vietnam
2018.08 ~ 2015.07
Interests
Big Data Analysis, Machine Learning Lifecycle Management System
Spatio-Temporal Deep Learning, Ambient AI
Sites
Github page: https://github.com/vanduc103
Recent Works:
(Paper) Efficient ML Lifecycle Transferring for Large-scale and High-dimensional Data via Core Set-based Dataset Similarity, IEEE Access (Q1 IF 3.476 ~ 2022)
To Hai Thien (Tommy To)
Ph.D. Candidate
Education
Hung Yen University of Education and Technology (HAPEL Scholarship program)
2005 ~ 2010Master of Computer Science, Chung Ang University
2014 ~ 2016Ph.D. Candidate, Seoul National University,
2018 ~
Interests
Big Data Analysis, High-Performance Computing
Embedded AI Systems, Explainable AI
Work Experience: https://www.linkedin.com/in/haithienld/
Jisoo Park, 박지수
Master’s Student
Research Interests
Explainable AI, Applications of AI in Music
Education
Double major in College of Liberal Studies, ~2020
BS, Mathematics, Seoul Nat’l University
BA, Music Aesthetics, Seoul Nat’l University
Master of Data Science, Seoul Nat’l University
Work Experience
CTO, Value Education Consulting, 2016.06~2017.08 (https://valueedu.co.kr/)
Yunjun Choi, 최윤준
Master’s Student
Research Interests
Business Analytics, Synthetic Data, Medical AI
Education
BA, Business Administration, Korea University, ~ 2022
MS, Data Science, Seoul Nat'l University, 2022.03 ~
Work Experience
Founder, StockWide, 2021 ~
CTO, TheLoVal, 2022 ~
Recent Works
(Contest) The 11th Ministry of Trade, Industry, and Energy Public Data Utilization BI Contest - 3rd prize in the "Public Domain" Area
Joonkyu Lee, 이준규 (Jonathan Lee)
Master’s Student
Education
BS, Economics & Mathematics, Duke University (USA),
2009.08 ~ 2015.05MS, Data Science, Seoul National University, 2022.06~
Interests
Fintech, Computational Finance, Robo-Advisory
Work Experience
International Monetary Fund - Fiscal Affairs Department (2015.05-2017)
Achievements
K-DS 2023 Hackathon Competition Team Leader - 3rd prize
Sites
E-mail: j4jesus90@snu.ac.kr
Ghita Benboubker, 리타
Master’s Student
Research Interests
Generative AI
Human-in-the-Loop ML
Education
BS, Engineering Management, Al Akhawayn University
MS, Data Science, Seoul National University
Work Experience
Digital Transformation and E-commerce, L'Oréal
Sivmuy Duong
Master’s Student
Research Interests
Data Analytics
Applications for Machine learning
AI roles in Sustainable Development
Education
BS, Economic Development, Royal University of Phnom Penh, 2015-2019
MS, Data Science, Seoul National University, 2022.09~
Work Experience
Researcher, Cambodia Development Resource Institute (CDRI), 2019-2021
Alumni
Woo Chul Lee, 이우철
Master’s Student
Research Interest
Machine Learning for Financial Services
Education
BS, Global Business Administration, Sungkyunkwan University
MS, Data Science, Seoul National University
Work Experience
D-lab, IGIS Asset Management
Excise Tax & Customs Team, GS Caltex Corporation
Certificate
CFA Charterholder
Chang Chang, 장창섭
Master’s Student
Research Interests
FEAT (Fairness, Ethics, Accountability, and Transparency)
AI for Good
Education
BS in Industrial Engineering and BA in Business (double major), College of Liberal Studies, SNU
Master of Data Science, SNU
Work Experience
LEK Consulting
Element AI
Sites
Bjørn Are Therkelsen
Master’s Student
Home University
Norwegian University of Science and Technology, Department of Computer Science
Computer Science, Specialization in AI
Seoul National University
Graduate School of Data Science
XAI in Music
Work Experience
Developer - SolutionSeeker AS
IT-consultant - Bredvid AS
Sites
Homepage: https://batherk.no
Naomi Xu
Master’s Student
Home University
Marshall Business School, University of Southern California (USC)
Education
BS, Tsinghua University, Beijing, China
MBA candidate, Marshall Business School, USC
Work Experience
Co-founder, Seikai Education
Interests
Data Analysis and Visualization
Explainable AI, GNN
Applications for Machine Learning
Sites
Angela Ng Weihan
Master’s Student
University: SNU Music School / University of Glasgow