Hello, I’m Heimin.

I’m a strategic design researcher exploring how evidence-grounded design research can drive meaningful transformation in healthcare, supported by AI-enabled and data-informed approaches. Across my work, I am particularly interested in how methodological choices shape what can be understood, validated, and acted upon in relation to human judgement and decision-making within complex, high-risk socio-technical systems.

My work focuses on understanding socio-technical complexity and examining how data practices, organizational structures, and lived experiences interact across care contexts. I am especially interested in how information is produced, shared, and interpreted across clinical and everyday settings, and how these information dynamics can be translated into actionable frameworks for human-centered innovation. I often collaborate with healthcare professionals and interdisciplinary teams to co-create insights and approaches that bridge human experience and systemic complexity in practice.

Recently, I completed my second master’s degree at TU Delft, advised by Dr. Judith Rietjens and Dr. Jiwon Jung, where I focused on the responsible and methodologically grounded integration of AI within Dutch mental healthcare, particularly in the referral system. Before that, I earned my first master’s degree at UNIST (Ulsan National Institute of Science and Technology) under Dr. Chajoong Kim. I received my BA in Advertising and Public Relations with an interdisciplinary major in Entrepreneurship at Chung-Ang University, where I built a foundation in holistic problem framing and strategic decision-making.

Ultimately, my goal is to advance and apply evidence-grounded design research in healthcare contexts where privacy, trust, and interpretability are critical due to their sensitivity and high-risk nature. To achieve this, I use mixed-methods and data-enabled approaches that combine quantitative and qualitative perspectives and draw on interdisciplinary frameworks (e.g., psychology, organizational studies, and implementation science) to advance responsible, human-centered innovation across complex socio-technical systems.