Robust Analytics Lab ⟨⟨⟨⟨⟨⟨⟨⟨⟨

Robust Analytics Lab brings together an interdisciplinary team of researchers to understand the robustness of machine learning and data analytics, particularly in the context of their complex interplay with organizational and societal concerns such as privacy, disparity, fairness, freedom of information, etc. Our expertise spans multiple areas under the umbrella of responsible data practices, including data management, data analytics, machine learning, privacy, and security. Leveraging such expertise, we seek to better understand the use of data and AI in an organizations setting, and to develop theories and tools that help organizations bring the development of AI/analytics into better alignment with their business strategies.

For more information about the co-directors of the lab, please visit the professional CVs of Heng Xu and Nan Zhang.

Please visit the publications section for our research results, the projects section for the research projects we are working on, and the events section for the seminars and workshops we organized or are involved with.