Suresh Venkatasubramanian is a Professor of Data Science and Computer Science at Brown University, with a secondary appointment in the Humanities. He serves as Interim Director of Data Science and directs the Center for Technological Responsibility, Reimagination, and Redesign (CNTR) within the Data Science Institute. His research focuses on algorithmic fairness, automated decision systems, and their societal impacts. He holds a PhD from Stanford University (1999) and previously served as an Assistant Professor at the University of Utah, where he held the John and Marva Warnock Endowed Chair. Key roles include co-authoring the White House’s Blueprint for an AI Bill of Rights during his tenure in the Biden-Harris administration. He has received prestigious awards like the NSF CAREER Award, ICDE 2017 Test-of-Time Award, and Fast Company’s AI20 List recognition. His work bridges computer science with ethics, law, and policy, addressing issues like privacy, bias in AI, and algorithmic accountability. Venkatasubramanian has advised numerous organizations, including the ACLU, NYC’s FTA Council, and Pennsylvania’s Judicial District, emphasizing interdisciplinary collaboration. Teaching includes CSCI 1951Z on Fairness in Automated Decision Making. His research spans topics such as disparity estimation in unobserved contexts, generative AI governance, and financial precarity modeling. Recent publications highlight his focus on mitigating algorithmic bias, ethical design in technology, and policy frameworks for AI regulation. Notable achievements include advancing transparency in automated systems, combating dialectal bias in NLP, and advocating for equitable voting access through network analysis. His work underscores the importance of community-driven approaches to technology and society challenges.
