Keynote Speakers

Cathryn Carson is a professor of the history of science at the University of California, Berkeley. She currently serves as the Faculty Lead of Berkeley's undergraduate Data Science programs in the new Division of Data Sciences. Her research has dealt with the intellectual, cultural, and political history of the twentieth-century sciences, especially physics; the integration of social scientific and humanistic perspectives into engineering education; the organization and management of contemporary research universities; and the history and ethnography of data science. She is the author of Heisenberg in the Atomic Age: Science and the Public Sphere and co-editor of Reflections on the Fukushima Daiichi Nuclear Accident: Toward Social-Scientific Literacy and Engineering Resilience. In administrative service, she co-chaired UC Berkeley's Data Science Education Rapid Action Team that developed the broad-based, integrative vision for Berkeley’s data science curriculum. She subsequently chaired the Faculty Advisory Board of the campus-wide Data Science Planning Initiative, which developed the blueprint for Berkeley’s current organizational realignment around data science. With Margo Boenig-Liptsin and Ari Edmundson, she co-teaches a large undergraduate class in History and STS on the Human Contexts and Ethics of Data. She holds a PhD in the History of Science and an MA in Physics from Harvard and a BA in the History, Philosophy, and Social Studies of Science from the University of Chicago. At Berkeley she currently occupies the Thomas M. Siebel Presidential Chair in the History of Science.

Lise Getoor is a professor in the Computer Science Department at UC Santa Cruz and the director of the UC Santa Cruz D3 Data Science Center. Her research areas include machine learning and reasoning under uncertainty; in addition she works in data management, visual analytics and social network analysis. She has over 200 publications and extensive experience with machine learning and probabilistic modeling methods for graph and network data. She is a Fellow of the Association for Artificial Intelligence, an elected board member of the International Machine Learning Society, serves on the board of the Computing Research Association (CRA), has served as Machine Learning Journal Action Editor, Associate Editor for the ACM Transactions of Knowledge Discovery from Data, JAIR Associate Editor, and on the AAAI Council. She was co-chair for ICML 2011, and has served on the PC of many conferences including the senior PC of AAAI, ICML, KDD, UAI, WSDM and the PC of SIGMOD, VLDB, and WWW. She is a recipient of an NSF Career Award and eleven best paper and best student paper awards. In 2014, she was recognized as one of the top ten emerging researchers leaders in data mining and data science based on citation and impact according to KDD Nuggets. She is on the external advisory board the San Diego Super Computer Center, and the scientific advisory board for the Max Planck Institute for Software Systems, and has served on the advisory board for companies including Sentient Technologies. She received her PhD from Stanford University in 2001, her MS from UC Berkeley, and her BS from UC Santa Barbara, and was a professor at the University of Maryland, College Park from 2001-2013.