I am currently working on two main research projects. One aims to develop personalized thermal comfort models using wearables and IoT sensors. While the other aims to quantify how desk and ceiling fans can be used to enhance occupant satisfaction and reduce energy use. In parallel I am developing Cozie for Apple and I maintain the following open-source projects: CBE thermal comfort tool, pythermalcomfort, Cozie for Fitbit.
I received my PhD in 2017 from the University of Wollongong, Australia during which I focused on determining the impact of IEQ on perceptions of occupants (staff and residents) and agitated behaviors of residents at aged care facilities.
Since then, the focus of my work, as a Postdoctoral Scholar, has mostly been on thermal comfort, Indoor Environmental Quality (IEQ), Heating Ventilation and Air Conditioning (HVAC) systems and development of non-intrusive methodologies to monitor IEQ parameters. I am collaborating with the International Energy Agency EBC Annex 69 "Strategy and Practice of Adaptive Thermal Comfort in Low Energy Buildings".
I am the author of the Python package pythermalcomfort and of the BLE Android application named BEARS. I am also the maintainer of the: CBE Thermal Comfort Tool and Cozie Fitbit clock face. I am currently developing Cozie for the Apple Watch. In my free time, I have also created Air Quality and Weather SG and Dengue Singapore. Follow me on GitHub.
Package to calculate thermal comfort indices (e.g. PMV, PPD, SET, Adaptive model).
Web-based graphical user interface for thermal comfort calculations.
Fitbit clock face to collect data in field thermal comfort research.
Check in real-time air quality and weather in Singapore.
Grade: 110/110 with honours
Apart from being a researcher, I enjoy most of my time being outdoors. I enjoy biking, swimming, hiking and many other outdoor activities.