Hi, everyone!

I am Bum Chul Kwon (“BC”), a research scientist at IBM Research, Cambridge, MA. My research goal is to enhance users’ abilities to gain insights into data through interactive visualization systems. I am also interested in making machine learning algorithms more transparent, solving real-world healthcare problems, and improving data visualization literacy!

• Joohee Kim, Hyunwook Lee, Duc M. Nguyen, Minjeong Shin, Bum Chul Kwon, Sungahn Ko, Niklas Elmqvist (2024). DG Comics: Semi-Automatically Authoring Graph Comics for Dynamic Graphs. IEEE Transactions on Visualization and Computer Graphics.

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• Bum Chul Kwon, Simona Rabinovici-Cohen, Beldine Moturi, Ruth Mwaura, Kezia Wahome, Oliver Njeru, Miguel Shinyenyi, Catherine Wanjiru, Sekou Remy, William Ogallo, Itai Guez, Partha Suryanarayanan, Joseph Morrone, Shreyans Sethi, Seung-Gu Kang, Tien Huynh, Kenney Ng, Diwakar Mahajan, Hongyang Li, Matan Ninio, Shervin Ayati, Efrat Hexter, Wendy Cornell (2024). SPARK: Harnessing Human-Centered Workflows with Biomedical Foundation Models for Drug Discovery. International Joint Conference on Artificial Intelligence.

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• Grace Guo, Lifu Deng, Animesh Tandon, Alex Endert, Bum Chul Kwon (2024). MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT).

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• Bum Chul Kwon, Nandana Mihindukulasooriya (2023). Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models. The 61st Annual Meeting of the Association for Computational Linguistics (ACL): System Demonstrations.

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• Hwiyeon Kim, Joohee Kim, Yunha Han, Hwajung Hong, Oh-Sang Kwon, Young-Woo Park, Niklas Elmqvist, Sungahn Ko, Bum Chul Kwon (2023). Towards Visualization Thumbnail Designs that Entice Reading Data-driven Articles. IEEE Transactions on Visualization and Computer Graphics.

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• Grace Guo, Ehud Karavani, Alex Endert, Bum Chul Kwon (2023). Causalvis: Visualizations for Causal Inference. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI).

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• Jinbin Huang, Aditi Mishra, Bum Chul Kwon, Chris Bryan (2023). ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective. IEEE Transactions on Visualization and Computer Graphics.

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• Bum Chul Kwon, Peter Achenbach, Vibha Anand, Brigitte I Frohnert, William Hagopian, Jianying Hu, Eileen Koski, Åke Lernmark, Olivia Lou, Frank Martin, Kenney Ng, Jorma Toppari, Riitta Veijola, the T1DI Study Group (2022). Islet Autoantibody Levels Differentiate Progression Trajectories in Individuals With Presymptomatic Type 1 Diabetes. Diabetes.

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• Bum Chul Kwon, Uri Kartoun, Shaan Khurshid, Mikhail Yurochkin, Subha Maity, Deanna G Brockman, Amit V Khera, Patrick T Ellinor, Steven A Lubitz, Kenney Ng (2022). RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups. Proceedings of the IEEE Conference on Visualization (IEEE VIS) Short Papers.

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• Uri Kartoun, Shaan Khurshid, Bum Chul Kwon, Aniruddh P. Patel, Puneet Batra, Anthony Philippakis, Amit V. Khera, Patrick T. Ellinor, Steven A. Lubitz, Kenney Ng (2022). Prediction Performance And Fairness Heterogeneity In Cardiovascular Risk Models. Scientific Reports.

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• Sanjoy Dey, Prithwish Chkraborty, Bum Chul Kwon, Amit Dhurandhar, Mohamed Ghalwash, Fernando J. Suarez Saiz, Kenney Ng, Daby Sow, Kush R. Varshney, Pablo Meyer (2022). Human-Centered Explainability For Life Sciences, Healthcare, And Medical Informatics. Patterns.

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• Bum Chul Kwon, Jungsoo Lee, Chaeyeon Chung, Nyoungwoo Lee, Ho-Jin Choi, Jaegul Choo (2022). DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation. Eurographics Conference on Visualization (EuroVis)-Short Papers. 🏆 Honorable Mention 🏆.

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• Bum Chul Kwon, Vibha Anand, Peter Achenbach, Jessica L Dunne, William Hagopian, Jianying Hu, Eileen Koski, Åke Lernmark, Markus Lundgren, Kenney Ng, Jorma Toppari, Riitta Veijola, Brigitte I Frohnert, the T1DI Study Group (2022). Progression Of Type 1 Diabetes From Latency To Symptomatic Disease Is Predicted By Distinct Autoimmune Trajectories. Nature Communincations.

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• Minjeong Shin, Joohee Kim, Yunha Han, Lexing Xie, Mitchell Whitelaw, Bum Chul Kwon, Sungahn Ko, Niklas Elmqvist (2022). Roslingifier: Semi-Automated Storytelling for Animated Scatterplots. IEEE Transactions on Visualization and Computer Graphics.

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• Deanna G. Brockman, Lia Petronio, Jacqueline S. Dron, Bum Chul Kwon, Trish Vosburg, Lisa Nip, Andrew Tang, Mary O'Reilly, Niall Lennon, Bang Wong, Kenney Ng, Katherine H. Huang, Akl C. Fahed, Amit V. Khera (2021). Design And User Experience Testing Of A Polygenic Score Report: A Qualitative Study Of Prospective Users. BMC Medical Genomics.

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• Cheonbok Park, Soyoung Yang, Inyoup Na, Sunghyo Chung, Sungbok Shin, Bum Chul Kwon, Deokgun Park, Jaegul Choo (2021). VATUN: Visual Analytics for Testing and Understanding Convolutional Neural Networks. Eurographics Conference on Visualization (EuroVis)-Short Papers.

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• Yunha Han, Hwiyeon Kim, Hyeshin Chu, Joohee Kim, Hyunwook Lee, Seunghyeong Choe, Dooyoung Jung, Dongil Chung, Bum Chul Kwon, Sungahn Ko (2021). Wait, Let's Think about Your Purchase Again: A Study on Interventions for Supporting Self-Controlled Online Purchases. The Web Conference (WWW).

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• Bum Chul Kwon, Courtland VanDam, Stephanie E Chiuve, Hyung Wok Choi, Paul Entler, Pang-Ning Tan, Jina Huh-Yoo (2020). Improving Heart Disease Risk Through Quality-Focused Diet Logging: Pre-Post Study of a Diet Quality Tracking App. JMIR Mhealth Uhealth.

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• Bum Chul Kwon, Peter Achenbach, Jessica L. Dunne, William Hagopian, Markus Lundgren, Kenney Ng, Riitta Veijola, Brigitte I. Frohnert, Vibha Anand, the T1DI Study Group (2020). Modeling Disease Progression Trajectories from Longitudinal Observational Data. AMIA Annual Symposium (AMIA).

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• Subhajit Das, Bahador Saket, Bum Chul Kwon, Alex Endert (2020). Geono-Cluster: Interactive Visual Cluster Analysis for Biologists. IEEE Transactions on Visualization and Computer Graphics.

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• Bum Chul Kwon, Vibha Anand, Kristen A Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I Frohnert, Markus Lundgren, Kenney Ng (2020). DPVis: Visual Analytics with Hidden Markov Models for Disease Progression Pathways. IEEE Transactions on Visualization and Computer Graphics.

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• Chunggi Lee, Sanghoon Kim, Dongyun Han, Hongjun Yang, Young-Woo Park, Bum Chul Kwon, Sungahn Ko (2020). GUIComp: A GUI Design Assistant with Real-Time, Multi-Faceted Feedback. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI).

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• Cheonbok Park, Inyoup Na, Yongjang Jo, Sungbok Shin, Jaehyo Yoo, Bum Chul Kwon, Jian Zhao, Hyungjong Noh, Yeonsoo Lee, Jaegul Choo (2019). SANVis: Visual Analytics for Understanding Self-Attention Networks. Proceedings of the IEEE Conference on Visualization (IEEE VIS) Short Papers.

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• Hwiyeon Kim, Juyoung Oh, Yunha Han, Sungahn Ko, Matthew Brehmer, Bum Chul Kwon (2019). Thumbnails for Data Stories: A Survey of Current Practices. Proceedings of the IEEE Conference on Visualization (IEEE VIS) Short Papers.

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• Sukwon Lee, Bum Chul Kwon, Jiming Yang, Byung Cheol Lee, Sung-Hee Kim (2019). The Correlation between Users' Cognitive Characteristics and Visualization Literacy. Applied Sciences.

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• Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo (2019). RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records. IEEE Transactions on Visualization and Computer Graphics.

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• Bum Chul Kwon, Ben Eysenbach, Janu Verma, Kenney Ng, Christopher deFilippi, Walter F. Stewart, Adam Perer (2018). Clustervision: Visual Supervision of Unsupervised Clustering. IEEE Transactions on Visualization and Computer Graphics.

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• Min-je Choi, Sung-Hee Kim, Sukwon Lee, Bum Chul Kwon, Ji Soo Yi, Jaegul Choo, Jina Huh (2017). Toward Predicting Social Support Needs in Online Health Social Networks. Journal of Medical Internet Research.

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• Bum Chul Kwon, Hannah Kim, Emily Wall, Jaegul Choo, Haesun Park, Alex Endert (2017). AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings. IEEE Transactions on Visualization and Computer Graphics.

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• Bum Chul Kwon, Janu Verma, Peter J. Haas, Çağatay Demiralp (2017). Sampling for Scalable Visual Analytics. IEEE Computer Graphics and Applications.

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• Sukwon Lee, Sung-Hee Kim, Bum Chul Kwon (2017). VLAT: Development of a Visualization Literacy Assessment Test. IEEE Transactions on Visualization and Computer Graphics.

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• Svenja Simon, Sebastian Mittelstädt, Bum Chul Kwon, Andreas Stoffel, Richard Landstorfer, Klaus Neuhaus, Anna Mühlig, Siegfried Scherer, Daniel Keim (2017). VisExpress: Visual exploration of differential gene expression data. Information Visualization.

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• Dominik Jäckle, Bum Chul Kwon, Daniel Keim (2016). Off-Screen Visualization Perspectives: Tasks and Challenges. Symposium on Visualization in Data Science (VDS) at IEEE VIS.

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• Sunghyo Chung, Sangho Suh, Cheonbok Park, Kyeongpil Kang, Jaegul Choo, Bum Chul Kwon (2016). ReVACNN: Real-Time Visual Analytics for Convolutional Neural Network. Future of Interactive Learning Machines Workshop at Neural Information Processing Systems (NIPS).

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• Narges Mahyar, Sung-Hee Kim, Bum Chul Kwon (2016). Towards a Taxonomy for Evaluating User Engagement in Information Visualization. Personal Visualization: Exploring Data in Everyday Life at IEEE VIS.

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• Jina Huh, Bum Chul Kwon, Sung-Hee Kim, Sukwon Lee, Jaegul Choo, Jihoon Kim, Min-Je Choi, Ji Soo Yi (2016). Personas in Online Health Communities. Journal of Biomedical Informatics.

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• Bum Chul Kwon, Janu Verma, Adam Perer (2016). Peekquence: Visual Analytics for Event Sequence Data. KDD Workshop on Interactive Data Exploration and Analytics (IDEA).

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• Bum Chul Kwon, Bongshin Lee (2016). A Comparative Evaluation on Online Learning Approaches using Parallel Coordinate Visualization. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI).

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• Leishi Zhang, Chris Rooney, Lev Nachmanson, William Wong, Bum Chul Kwon, Florian Stoffel, Michael Hund, Nadeem Qazi, Uchit Singh, Daniel Keim (2016). Spherical similarity explorer for comparative case analysis. Electronic Imaging, Visualization and Data Analysis (VDA).

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• Hendrik Strobelt, Daniela Oelke, Bum Chul Kwon, Tobias Schreck, Hanspeter Pfister (2016). Guidelines for Effective Usage of Text Highlighting Techniques. IEEE Transactions on Visualization and Computer Graphics.

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• Domink Sacha, Hansi Senaratne, Bum Chul Kwon, Geoffrey Ellis, Daniel Keim (2016). The Role of Uncertainty, Awareness, and Trust in Visual Analytics. IEEE Transactions on Visualization and Computer Graphics.

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• Bum Chul Kwon, Sung-Hee Kim, Sukwon Lee, Jaegul Choo, Jina Huh, Ji Soo Yi (2016). VisOHC: Designing Visual Analytics for Online Health Communities. IEEE Transactions on Visualization and Computer Graphics.

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• Bum Chul Kwon, Sung-Hee Kim, Timothy Duket, Adrián Catalán, Ji Soo Yi (2015). Do People Really Experience Information Overload While Reading Online Reviews?. International Journal of Human-Computer Interaction.

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• Bum Chul Kwon, Jaegul Choo, Sung-Hee Kim, Daniel Keim, Haesun Park, Ji Soo Yi (2015). Opinion Marks: A Human-Based Computation Approach to Instill Structure into Unstructured Text on the Web. KDD Workshop on Interactive Data Exploration and Analytics (IDEA).

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• Byung Cheol Lee, Sukwon Lee, Bum Chul Kwon, Ji Soo Yi (2015). What Are the Causes of Noncompliance Behaviors in Bar Code Medication Administration System Processes?. International Journal of Human-Computer Interaction.

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• Domink Jäckle, Florian Stoffel, Bum Chul Kwon, Dominik Sacha, Andreas Stoffel, Daniel Keim (2015). Ambient Grids: Maintain Context-Awareness via Aggregated Off-Screen Visualization. Eurographics Conference on Visualization (EuroVis)-Short Papers.

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• Franz Wanner, Andreas Stoffel, Domink Jäckle, Bum Chul Kwon, Andreas Weiler, Daniel Keim (2015). State-of-the-art Report Of Visual Analysis For Event Detection In Text Data Streams. Eurographics Conference on Visualization (EuroVis)-State-of-the-Art Report..

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• Dominik Sacha, Andreas Stoffel, Florian Stoffel, Bum Chul Kwon, Geoffrey Ellis, Daniel Keim (2014). Knowledge Generation Model for Visual Analytics. IEEE Transactions on Visualization and Computer Graphics. 🏆 Test of Time Award (10 Year) 🏆.

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• Bum Chul Kwon, Florian Stoffel, Dominik Jäckle, Bongshin Lee, Daniel Keim (2014). VisJockey: Enriching Data Stories through Orchestrated Interactive Visualization. Computation+Journalism Symposium.

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• Bum Chul Kwon, Inkyoung Hur, Ji Soo Yi (2014). A Review Of Web‐based Dietary Interventions: From The Human–Computer Interaction Practitioners' Perspective. Human Factors and Ergonomics in Manufacturing & Service Industries.

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• Sohaib Ghani, Bum Chul Kwon, Seungyoon Lee, Ji Soo Yi, Niklas Elmqvist (2013). Visual Analytics for Multimodal Social Network Analysis: A Design Study with Social Scientists. IEEE Transactions on Visualization and Computer Graphics.

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• Bum Chul Kwon, Ji Soo Yi, Zhu Yu (2013). ReadingMate: The Effect of the Content Stabilizing Technique, Font Size, and Interline Spacing on the Letter-Counting Task Performance of Treadmill Runners. Human Factors.

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• Bum Chul Kwon, Waqas Javed, Sohaib Ghani, Niklas Elmqvist, Ji Soo Yi, David Ebert (2012). Evaluating the Role of Time in Investigative Analysis of Document Collections. IEEE Transactions on Visualization and Computer Graphics.

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• Bum Chul Kwon, Zhihua Dong, Karen S. Yehle, Kimberly S. Plake, Lane M. Yahiro, Sibylle Kranz, Ji Soo Yi (2012). Food for the Heart: Lessons Learned while Designing a Visual Decision Support System for Patients with Coronary Heart Disease. Advances in Human Aspects of Healthcare.

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• Sung-Hee Kim, Sensen Li, Bum Chul Kwon, Ji Soo Yi (2011). Investigating the Efficacy of Crowdsourcing on Evaluating Visual Decision Supporting System. Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

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• Bum Chul Kwon, Waqas Javed, Niklas Elmqvist, Ji Soo Yi (2011). Direct Manipulation Through Surrogate Objects. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI).

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• Bum Chul Kwon, Brian Fisher, Ji Soo Yi (2011). Visual analytic roadblocks for novice investigators. Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST).

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