The Matcha Initiative
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I am passionate about various sustainability topics, including advancing the science and technology of solar energy and its integration into urban systems. With a PhD in Urban Planning from the National University of Singapore, I have developed a novel methodology to estimate the solar energy potential of a city, using remote sensing, GIS, and machine learning techniques.
I have over 10 years of experience in the consultancy and research industries, working on various projects related to renewable energy systems, sustainability, and smart city solutions. I have also been a trainee at Idiap Research Institute since 2019, where I collaborate with leading experts in the field of artificial intelligence and data science. I am skilled in data analysis, solar and energy simulation, and Microsoft Excel, and have published multiple papers in peer-reviewed journals and conferences.
My goal is to contribute to the global transition towards a low-carbon and resilient future, by providing innovative and evidence-based insights and recommendations for policymakers, practitioners and other stakeholders.
My knowledge and connections are quite unique, which I believe make them useful tools for The Matcha Initiative website users. I just organized a climate change workshop at one of the largest AI conferences, as well as a successful networking event related to sustainability and AI.
I was drawn to sustainability as a concept at the intersection of science, technology, and real-world impact. Early on, I became interested in how urban systems can be designed to support clean energy transitions. That led me to pursue a PhD focused on estimating solar energy potential in cities using machine learning. Now, I am trying to connect the dots.
I am a core member of Climate Change AI, and have also served as a mentor for a sustainability competition.
Driving sustainability can be tough when people are fragmented. As such, I strive to connect talents for greater impact.
I am passionate about sustainability.