Raysa Benatti investigates computer science applications to legal and public policy-related settings; her current research focuses on measuring effects of bias sources in statistical evidence used in court and policy decision-making. Previously, she worked on automatic identification of gender biases in legal text using natural language processing methods.
She has a M.Sc. and a B.Sc. in Computer Science from the University of Campinas, and a bachelor's degree in Law from the University of São Paulo. Raysa was a fellow in the Berkeley Equity and Access in Algorithms, Mechanisms, and Optimization research group (BEAAMO) at the University of California, Berkeley, and is also part of the Mechanism Design for Social Good (MD4SG) initiative.
personal page | raysa.benatti (at) uni-tuebingen.de