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Associate Professor at KAIST
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KAIST Data Mining Lab
Data Scientist
June 26, 2026 – Present
slugger
December 5, 2021 – December 13, 2021
SLUGGER: Lossless Hierarchical Summarization of Massive Graphs
View Projectthinkd
June 15, 2018 – October 30, 2024
Think before You Discard: Accurate Triangle Counting in Graph Streams with Deletions (ECML/PKDD'18 & TKDD'20)
View Projectwaiting_room
September 5, 2017 – October 30, 2024
WRS: Waiting Room Sampling for Accurate Triangle Counting in Real Graph Streams (ICDM'17 & VLDBJ'20)
View Projectdensealert
May 19, 2017 – October 30, 2024
DenseAlert: Incremental Dense-SubTensor Detection in Tensor Streams (KDD'17)
View Projectdcube
November 21, 2016 – October 30, 2024
D-Cube: Dense-Block Detection in Terabyte-Scale Tensors (WSDM'17 & Frontiers in Big Data'21)
View Projectcorescope
September 21, 2016 – October 30, 2024
CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms (ICDM'16 & KAIS'18)
View Projectmzoom
June 27, 2016 – October 30, 2024
M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees (ECML/PKDD'16 & TKDD'18)
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on academic research in graph mining and tensor analysis, primarily using Java. While this demonstrates deep technical expertise in a specific domain, the breadth of technologies and project types is limited. The target role is 'Data Scientist', which typically requires a broader set of skills including machine learning frameworks (beyond GNNs), statistical modeling, and experience with diverse data sources and deployment environments. The current profile suggests a strong research background but a potential gap in industry-standard data science tools and practices, which might impact cultural fit in a fast-paced, product-oriented data science team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. Psychometric test scores are 0, indicating no completed assessment.