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Tao Bi is a researcher with expertise in human-computer interaction, user-centered design, and technological innovation. His work focuses on leveraging technology to empower individuals to understand their thoughts and actions, which fosters improved self-monitoring, self-reflection, and self-regulation. Bi's research addresses real-world challenges in areas such as patient health monitoring, sustainable consumer behavior in clothing and sports fitness, and broader health and well-being contexts. His technological interests span conversational agents, voice interaction, wearable sensing, affective computing, machine learning, and emotional design. Bi employs a multidisciplinary approach in his work, combining qualitative and quantitative research methods with hands-on design prototyping, utilizing low-fidelity mockups and high-fidelity programming for software development. Currently, he is a Research Associate at the Dyson School of Design Engineering at Imperial College London, collaborating with Dr. Talya Porat and Professor Brendan Delaney on a project funded by a NIHR i4i grant in partnership with the U.S.-based startup SOAP Health, which focuses on developing AI virtual doctors to facilitate unbiased medical history taking and diagnostic prompting. Previously, he has contributed to high-impact projects such as the UKRI-funded Consortium Research on Individual, Interpersonal, and Social Influences on Pain (CRIISP), the UKRI Interdisciplinary Textiles Circular Centre (TCC), and the EU H2020 "EnTimeMent" project, as well as the EPSRC initiative on Consumer Experience: Digital Tools for Dematerialization in the Circular Economy. In addition to his research, Bi serves as a Visiting Lecturer at the Global Business School Health at University College London, where he contributes to advancing human-centered approaches to digital health innovation.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.