Thomas Chen is a student researcher whose primary interests lie in machine learning and computer vision real-world applications. He serves on the U.S. Technology Policy Committee of the Association for Computing Machinery. As much of his work lies at the nexus of artificial intelligence and earth science, he is also an active early-career scientist member of the European Geosciences Union and the American Geophysical Union. In particular, Thomas is interested in harnessing deep learning-based remote sensing systems to assess damage incurred by natural disasters and in turn to build up more resilient and smart cities that can adapt to the rapidly changing climate. Previously, Thomas has presented work at a number of conferences, workshops, and meetings, from NeurIPS workshops, to Applied Machine Learning Days, to the Open Data Science Conference, to Machine Learning Week Europe.
Thomas’ main research/work interest areas:
- Machine learning and computer vision applications for climate
- Natural disaster mitigation and management
- Resilient cities and smart cities
- Geosciences and geoinformatics
- Satellite imagery and remote sensing
Thomas’ favorite cities and why:
- Singapore - It's modern and futuristic, with great food.
- Bruges - It's rustic and unique with beautiful canals.
- Akureyri - It's located near the Arctic Circle and is essentially a small, welcoming town.
- Edinburgh - It's walkable, with plenty of interesting historical sites.
