Ash Tan

School of Information

Ash is a Masters of Information and Data Science student at the Berkeley School of Information. He currently studies data collection, analysis, and visualization, as well as research design and machine learning techniques. His interests include cognitive science, Wikipedia data, and privacy research.

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Priscila Amorim

Changemaker Technology Project
Data Science
Digital Health Social Justice

Priscila Amorim is a recent graduate of UC Berkeley's Bachelor's of Arts in Data Science program, and is currently attending Northwestern Univerisity for a Master's of Science in Data Science. Priscila is passionate about the intersection of technology and social justice, and in particular, health justice. Their goal is to work on climate justice through database management or data engineering to support data scientists and analysts in their work through the availability of ubiquitous data. Priscila is currently working on the Changemaker's Digital Health Project to help create...

Chun Ho Chow

Data Science Fellow
City and Regional Planning
Civil and Environmental Engineering

I'm a dual-degree MCP City Planning / MS Transportation Engineering student. My background is in physics, and I'm interested in understanding and modelling urban and regional systems, including their morphology/form, interactions, and fundamental dynamics, using complex systems and computational methods. I'm also interested in the emergence and evolution of social complexity, urbanism, and regional networks of cities.

Jordan Weiss, Ph.D.

Data Science Fellow

Jordan Weiss is a demographer who studies population health and inequality. A central theme of his work concerns the integration of theories across multiple disciplines with advances in statistical and computational science to inform research design and translate findings into actionable, policy-relevant information.

Jordan earned his Ph.D. in Demography and Sociology from the University of Pennsylvania where he also earned an MA in Statistics. He is currently a Postdoctoral Scholar in the Department of Demography and Data Science Fellow at the University of California,

Ilya Akdemir

Data Science Fellow
School of Law

Ilya is a JSD candidate at UC Berkeley School of Law. His research focuses on natural language processing and machine learning applications that are motivated by both theoretical and practical questions in the legal domain.

Amanda Glazer


Amanda is a PhD candidate in the statistics department at Berkeley. Her research focuses on causal inference with applications in education, political science and sports. Previously she earned her Bachelor’s degree in mathematics and statistics, with a secondary in computer science, from Harvard.