Research
I study personal environmental exposure histories in built environments: how light, heat, sound, and air quality are received, organized over time, and related to health, perception, and behavior.
My research links environmental fields, personally received exposure, exposure-history representations, and task-specific outcomes. It combines real-world sensing, spatiotemporal modelling, machine learning, and human-subject research to support health-oriented environmental evaluation and intervention.
Exposure measurement
Measuring and reconstructing personally received exposure under real-world conditions.
Exposure histories
Modelling the temporal structure, variability, and heterogeneity of environmental exposure.
Design and intervention
Translating exposure and human-response evidence into environmental evaluation and design.
Methods
Wearable and environmental sensing · spatiotemporal data fusion · machine learning · multilevel and causal modelling · human-subject studies
Background
I am a PhD candidate in Building Science and Technology at Tsinghua University, advised by Prof. Xin Zhang. I serve on CIE JTC-20, lead the Architecture + Artificial Intelligence Research Group at Future League, and review for journals across building science, environmental psychology, urban studies, and energy research.