Company, Team,
and Partnerships

Alan Zhang is a Master of Science in Engineering candidate in Computer Science at Princeton University, having previously earned his Bachelor of Arts in Computer Science from the University of California, Berkeley. In the software industry, he has experience as a Senior Software Development Engineer for Workday's Adaptive Planning division, where his full-stack infrastructure enhancements and API developments have driven a 20% annual increase in new customer subscription revenue while decreasing technical debt by 45%. His graduate research at Princeton's Systems for Artificial Intelligence Lab focuses heavily on serving system optimizations for multimodal large language models, achieving significant compute savings through advanced image token pruning frameworks and novel hierarchical KV cache designs. Beyond his research and engineering roles, he actively contributes to computer science education as course staff at Princeton, where he develops grading infrastructure and teaches systems programming, building upon his earlier academic tutoring foundation at UC Berkeley.

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.

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.