Thomas Chen is a machine learning researcher from the New York Metro area in the USA who is passionate about machine learning, computer vision, and artificial intelligence. He is highly involved in applying ML and AI to real-world issues that face society (e.g. deep learning-based computer vision for damage assessment post-natural disaster). He has been an invited speaker at conferences like the IEEE Conference on Technologies for Sustainability, American Geophysical Union Fall Meeting, and the Energy Anthropology Network. Thomas has also spoken at events like NeurIPS and CVPR workshops, Applied Machine Learning Days, the Open Data Science Conference, and Machine Learning Week Europe. He is considered a leading expert in the area of machine learning-driven earth observation (EO) applications. Thomas is a member of the U.S. Technology Policy Committee (Association for Computing Machinery) and the Research Data Alliance.