Aniket is a postdoctoral scholar at the D-Lab. He earned his PhD from Berkeley Law, where he specialized in Law & Economics. He also holds a BA from Rutgers University – New Brunswick in Political Science and History, and is a JD candidate at Yale University. His research focuses on privacy and cybersecurity law, and he is generally interested in using data science to tackle public policy problems. During his graduate career, he was a Google Public Policy Fellow, a Data Science for Social Good (DSSG) Fellow at the University of Chicago, and a Technology Policy Analyst Intern at GitHub.
Renata is a JD / PhD 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.
