Daniel Cai

Daniel Cai is a promising young professional with a passion for artificial intelligence, mobility, and urban planning. He hails from Toronto and graduated high school in Shanghai before studying International Baccalaureate at the Shanghai High School International Division. Later he pursued B.S. and M.S. in Computer Science emphasizing AI, at the prestigious Stanford University, where he also worked as a graduate teaching assistant.

Daniel's expertise in AI was acknowledged when he worked as a research assistant in the Stanford Artificial Intelligence Laboratory (SAIL) and the Stanford University School of Medicine. He also worked as a software engineering intern at Zoox.

Daniel envisions making cities more sustainable, safer, and easier to navigate with the help of technological advancements. He believes that the use of technology can make urban spaces more efficient and promote a better quality of life for the people living and working there. He is also an avid theater enthusiast who believes in the magic of live performances.

With his academic experience and professional background, Daniel is perfectly poised to make a significant impact in the field of AI and urban planning. His passion for creating a better and smarter world is undoubtedly an inspiration for many.