I am dedicated to enhancing human understanding of complex data through advanced analytics, enabling individuals to make more informed decisions in their daily lives. My research centers on Human-Data Interaction, specifically leveraging causal inference and what-if analysis on mobile sensing data to facilitate meaningful behavior change. Through this work, I aim to build rigorous and effective personal health informatics systems that bridge the gap between data and action.

Currently, I am a Postdoctoral Researcher in the Computational Social Science Research Group at Aalto University, led by Prof. Juhi Kulshrestha. My academic foundation was built at the School of Computing, KAIST, where I earned my Ph.D. under the guidance of Prof. Uichin Lee, followed by research experience as a postdoctoral researcher at ETRI.

[Research Interests]

• Domains: Human-Computer Interaction, Consumer Health Informatics, Digital Health
• Topics: Personal Mobile Data, Behavior Change, Intervention Design, User Engagement, Data Sensemaking, Narratives and Storytelling
• Methodologies: Causal Inference, Counterfactual Explanations, Observational Study, Quantitative and Qualitative User Studies

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