Introducing Our
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Dr. Hernandez-Boussard is the Associate Dean of Research and Professor of Medicine (Biomedical Informatics) at Stanford University. Her work is at the intersection of informatics and population health, promoting responsible AI across populations. She utilizes diverse, multimodal data to develop rigorous criteria and guidelines that steer the development of responsible AI, aiming to bridge gaps in health care and enhance patient outcomes. Dr. Hernandez-Boussard advocates for practices that ensure the benefits of digital technologies are realized across all segments of society.
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Dr. Dan Goldstein is Senior Principal Research Manager and local leader at Microsoft Research New York City and Distinguished Scholar at Wharton. Prior to Microsoft, Dan was a professor at London Business School and Principal Research Scientist at Yahoo Research. Dan received his PhD from the University of Chicago and has also taught or researched at Wharton, Columbia, Harvard, Stanford, and the Max Planck Institute. Dan was President of the Society for Judgment and Decision Making.
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Dr. Ravi Kumar has been a senior staff research scientist at Google since 2012. Prior to this, he was a research staff member at the IBM Almaden Research Center and a principal research scientist at Yahoo! Research. Dr. Ravi Kumar obtained his PhD in Computer Science from Cornell University. His research interests include Web search and data mining, algorithms for massive data, and the theory of computation.
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Dr. Marc Najork is a Distinguished Research Scientist in Google DeepMind, working on new techniques to make it easier for people to obtain relevant and useful information when and where they need it. Marc is interested in using generative language models to answer questions directly, rather than referring users to relevant sources. Direct answers represent a major paradigm shift in Information Retrieval, affecting the user experience, the fundamental architecture of the retrieval system, and the economic foundation of commercial web search and the entire web content ecosystem. Prior to joining Google, Marc was a Principal Researcher at Microsoft Research, and a Research Scientist at Digital Equipment Corporation. He is an ACM Fellow, IEEE Fellow, and a SIGIR Academy member.
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Ariel Procaccia is the Alfred and Rebecca Lin Professor of Computer Science at Harvard University. He works on a broad and dynamic set of problems related to AI, algorithms, economics, and society. He has helped create systems and platforms that are widely used to solve everyday fair division problems, resettle refugees, distribute food, and select citizens' assemblies. To make his research accessible to the public, he has written numerous opinion and exposition pieces for publications such as the Washington Post, Bloomberg, Wired, and Scientific American. He is a AAAI Fellow (2024) and a recipient of the ACM SIGecom Mid-Career Award (2024), Social Choice and Welfare Prize (2020), Guggenheim Fellowship (2018), IJCAI Computers and Thought Award (2015), and Sloan Research Fellowship (2015).
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Pierre Zweigenbaum is a Senior Researcher at the Interdisciplinary Laboratory for Digital Sciences (LISN, Orsay, France), a laboratory of the French National Center forScientific Research (CNRS) and Université Paris-Saclay, where he has led the ILES Natural Language Processing group. Before CNRS he was a researcher at Paris Public Hospitals in an Inserm team. He also was a part-time professor at the National Institute for Oriental Languages and Civilizations. His research focus is Natural Language Processing, with medicine as a main application domain. He has also designed methods to acquire linguistic knowledge automatically from corpora and thesauri, to help extend monolingual and bilingual lexicons and terminologies, using parallel and comparable corpora.
