Stanford University
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Karen D. Wang
Affiliate, Physics
BioMy research is situated at the intersection of machine learning and human cognition. In my work, I apply learning analytics and data mining techniques to students’ interaction data in technology-based learning environments. The goal is to translate fine-grained behavioral data into meaningful evidence about students’ cognitive and metacognitive processes. These enhanced understandings of students’ mental processes and competencies are then used to guide the design of and evaluate instructional materials embedded in educational technology.
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Dan Wang
Hoover Research Fellow, HOOVER RESEARCH
BioDan Wang is a research fellow at Stanford's Hoover History Lab. He was previously a fellow at the Yale Law School’s Paul Tsai China Center, and, from 2017 to 2023, he worked in China as the technology analyst at Gavekal Dragonomics. Dan is one of the most-cited experts on China’s technology capabilities. In addition to a widely circulated annual letter from China, Dan’s essays have appeared in the New York Times, Foreign Affairs, the Financial Times, New York Magazine, Bloomberg Opinion, and The Atlantic. He has given keynotes in corporate and university settings, and he has been a guest on the ‘Ezra Klein Show,’ Bloomberg’s ‘Odd Lots,’ as well other prominent podcasts. He is the author of Breakneck: China’s Quest to Engineer the Future, Fall 2025 from W. W. Norton (US) and Penguin (UK).