Bluebonnet Data
Azure Zhou is a graduate student at Stanford University pursuing a master's degree in Computer Science, building on a bachelor's degree in Mathematics from the same institution. Experience includes a quantitative trader internship at Citadel Securities, a research assistant role at the Stanford Artificial Intelligence Laboratory with Professor Diyi Yang, and a business data analyst internship at Intuit. Additional roles encompass various positions such as radio DJ and program director at KZSU Stanford Radio, policy and product analyst at Trust Lab, and data analyst at California ISO. Notable scholarly achievements consist of research on Vizing's theorem in hypergraph theory and theoretical condensed matter physics, earning a scholarship from the Regeneron Science Talent Search. Early experience includes teaching assistance at Texas State University and participation in the Research Science Institute.
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Bluebonnet Data
Bluebonnet Data is mobilizing the next generation of data and tech talent to empower progressive campaigns and causes. Since our founding in 2018, we have supported 500+ campaigns at every level from school board to US Senate, training more than 1200 fellows.