Sungchul Kim

Data Scientist

San Jose

Sungchul is a data scientist at the Systems Technology Lab of Adobe Research. I received my Ph.D. in Computer Science and Engineering at Pohang University of Science and Technology (POSTECH) in summer 2015 under the supervision of Prof. Hwanjo Yu. My thesis was on constructing mutation profiles for top-k patient search and stratification of cancer subtypes.

My research interests focus on user behavior modeling and visitor stitching and include representing and analyzing data by using data-mining techniques including regression, ranking, and dimensionality reduction, and also I have been working on recommender system, online advertisement and named entity recognition.

My Publications

Visualizing Uncertainty and Alternatives in Event Sequence Predictions

Guo, S., Du, F., Malik, S., Koh, E., Kim, S., Liu, L., Kim, D., Zha, H., Cao, N. (Jan. 4, 2019)
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2019)

Perceptual Similarity Ranking of Temporal Heatmaps Using Convolutional Neural Networks

Malik, S., Kim, S., Koh, E. (Oct. 22, 2018)
Proceedings of the Workshop on Understanding Subjective Attributes of Data, with the Focus on Evoked Emotions (EE-USAD 2018)

Probabilistic Visitor Stitching on Cross-device Web Logs

Kim, S., Kini, N., Pujara, J., Getoor, L., Koh, E. (Apr. 3, 2017)

Predicting Online Purchase Conversion for Retargeting

Yeo, J., Kim, S., Koh, E., Hwang, S., Lipa, N. (Feb. 6, 2017)