Rachel Hong is a Ph.D. student in the Allen School of Computer Science & Engineering and a member of the Security and Privacy Lab, the Washington AI Lab, and the Tech Policy Lab. She studies bias in machine learning and is interested in bridging theoretical and empirical work in the field of algorithmic fairness.

Rachel is a PhD student in the Paul G. Allen School of Computer Science & Engineering and a member of the Security and Privacy lab and the Tech Policy Lab. Her research is generally in the area of security and privacy of emerging technologies. Recently, she published work about private information leakages in online real […]