Summary
Benjamin Xie is an Assistant Professor of Computer Science and researcher who builds critical, equitable human-data interactions to improve learning and environmental outcomes. With 12 years of experience spanning MIT, UW, and Stanford, he blends HCI, computing education, and AI ethics to design tools and evaluations that surface bias and support community-driven advocacy. His work ranges from large-scale assessment analyses at Code.org to embedded-ethics curriculum development at Stanford HAI, and he’s developing methods for more valid bias evaluation and AI-assisted assessment design. Based in Denver, he also serves as a faculty affiliate helping translate research into policy for responsible AI use in Colorado. Notably, his background includes NSF-funded PhD work and hands-on projects like MIT App Inventor research, reflecting a long-standing focus on making data work interpretable and actionable for diverse stakeholders.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Information Science, Doctor of Philosophy (Ph.D.) Information Science at University of Washington
Master of Engineering (M.Eng.) Computer Science (Artificial Intelligence), Master of Engineering (M.Eng.) Computer Science (Artificial Intelligence) at Massachusetts Institute of Technology
Chinese, Chinese