Team & advisors.

Recent graduate from Princeton University, where his thesis focused on AI applications for fashion supply chains. Before founding Curbon, he worked on a fintech startup in the MENA region and conducted a 15-city supply chain tour across East Asia to deeply understand industry sourcing challenges. Joe has also advised the Egyptian government on technology and environmental policy, presenting his work at the UN COP27 Conference. He has lived in five global cities, speaks English, Arabic, and Spanish, and is on a mission to build Curbon into the industry standard for intelligent, cost-effective, and sustainable fashion production.

Alan Zhang received his M.S.E. and B.A. in Computer Science from Princeton University and UC Berkeley, respectively. He has over five years of full-stack development experience in the enterprise software industry. His graduate research at Princeton's Systems for Artificial Intelligence Lab (SAIL) focuses on serving-system optimizations for multimodal large language models, and he has published work in academic conferences such as the International Conference on Machine Learning (ICML).

Jinjin Chen is a Ph.D. candidate in Civil and Environmental Engineering on a full fellowship at Princeton University, where she also earned her M.S.E. She has demonstrated substantial scholarly impact by amassing over 200 Google Scholar citations and authoring multiple peer-reviewed papers, including five selected publications in high-impact journals like Environmental Science & Technology. Her master's and doctoral research focuses heavily on life-cycle assessment, techno-economic analysis, and multi-sector optimization, which she has used to simulate urban waste circularity and develop broad decarbonization strategies. At Curbon, she applies this scientific background as Chief Science Officer, supporting the development of Curbon’s real-time life-cycle assessment engine for product development to ensure data traceability and output accuracy.