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.
Currently a 5th year Chemical Biology PhD student. My research focuses on understanding the mechanism by which mutations in a protein called Ras lead to tumorigenesis. More specifically, I aim to integrate high-throughput mutagenesis, coevolutionary analysis and machine learning algorithms to generate a predictive model. Over the last year I have built a Python package to process, analyze and visualize Next Generation Sequencing datasets. I love collaborating across research fields and sharing my passion for data science.
