Ariel is a master's student in the Health and Social Behavior division of the School of Public Health. She is an experienced mixed methods researcher, specializing in market research, consumer/audience insights, survey design and analysis, and program evaluation. She is passionate about storytelling with data, and using research to create actionable insights.
I am a PhD candidate at UC Berkeley in the department of Environmental Science, Policy, and Management (ESPM). My research is at the intersection of ecology, data science, and decision theory. I synthesize data on ecosystems (e.g. biodiversity distributions), social systems (e.g., human perceptions) and institutions (e.g. governance structures) to understand how we can better, and more equitably, manage landscapes and seascapes under uncertainty and global environmental change.
Renata has a JD and is a Ph.D. candidate at Berkeley, where her research focuses on the harms caused by machine learning models on marginalized groups. She is trained in computational social science and has interned at Twitter and Facebook. She enjoys learning both programming and human languages.
