Institute for Human-Centered Artificial Intelligence (HAI)


Showing 1-9 of 9 Results

  • Marisa MacAskill

    Marisa MacAskill

    Faculty Affairs and Fellowship Program Manager, Institute for Human-Centered Artificial Intelligence (HAI)

    BioMarisa MacAskill joined the Stanford Institute for Human-Centered Artificial Intelligence in 2020 and serves as the Faculty Affairs and Fellowship Program Manager. Marisa started her career at Stanford in 2017 as the Fellowship and Student Programs Manager for the Center for International Security and Cooperation (CISAC) where she delivered academic programming, managed admissions, and supported research and learning opportunities for undergraduate and graduate students, and postdoctoral fellows. Prior to Stanford, Marisa was the Assistant Director for Administration and Programming at the McKinnon Center for Global Affairs at Occidental College where she worked on strategic initiatives, international programming, and student/faculty grants. Marisa also served as a seasonal reader for Oxy’s Admissions Office and as a strategic planning analyst for the Annenberg Foundation Trust at Sunnylands.

    Marisa holds an MA in International Relations from the Josef Korbel School of International Studies at the University of Denver and a BA in Spanish Language and Literature from the University of California, Berkeley.

  • Katharine (Kate) Maher

    Katharine (Kate) Maher

    Professor of Earth System Science and Senior Fellow at the Woods Institute for the Environment

    Current Research and Scholarly InterestsResearch
    Chemical reactions between fluids and minerals create the environments that are uniquely characteristic of Earth’s surface. For example, chemical weathering reactions support the growth of soils and organisms and regulate the flow of elements to the oceans. The rates of these reactions also control the release and storage of natural and human-derived contaminants. Over geologic timescales, mineral-fluid reactions have helped to maintain a mostly habitable planet. Over human timescales, these reactions will regulate our ability to use Earth’s resources, such as soils, waters, and minerals.

    My research focuses on the rates of reactions in different environments using a combination of geochemical tools, including isotope geochemistry, geochemical and hydrologic modeling, and geochronology in order to address the following themes: (1) defining the controls on mineral-fluid reactions rates in the environment (2) finding new approaches to use mineral-fluid reactions to safely store carbon dioxide in the subsurface; and (3) development of isotopic approaches to study mineral-fluid reactions in the environments of Earth’s past. To support these research themes, I have constructed a new mass spectrometer and clean lab facility capable of high precision geochemical and isotopic measurements, and teach a number of classes and short courses on reactive transport.

    Teaching
    My teaching focuses on introducing students to the questions and major challenges in low-temperature and environmental geochemistry, and the application of isotope geochemistry to environmental and geologic problems. In order to introduce incoming students to Earth surface processes, materials and geochemistry, I am also teaching a freshman seminar on forensic geoscience. At the graduate level, I offer classes on isotope geochemistry and modeling of environmental transformations and mass transfer processes (i.e., subsurface reactive transport).

  • Christos Makridis

    Christos Makridis

    Affiliate, Stanford Digital Economy Lab (S-DEL)

    BioChristos Makridis is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.

  • Christopher Manning

    Christopher Manning

    Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science

    BioChristopher Manning is a professor of computer science and linguistics at Stanford University, Director of the Stanford Artificial Intelligence Laboratory, and Co-director of the Stanford Human-Centered Artificial Intelligence Institute. He works on software that can intelligently process, understand, and generate human language material. He is a leader in applying Deep Learning to Natural Language Processing, including exploring Tree Recursive Neural Networks, neural network dependency parsing, the GloVe model of word vectors, neural machine translation, question answering, and deep language understanding. He also focuses on computational linguistic approaches to parsing, natural language inference and multilingual language processing, including being a principal developer of Stanford Dependencies and Universal Dependencies. Manning is an ACM Fellow, a AAAI Fellow, an ACL Fellow, and a Past President of ACL. He has coauthored leading textbooks on statistical natural language processing and information retrieval. He is the founder of the Stanford NLP group (@stanfordnlp) and manages development of the Stanford CoreNLP software.

  • David J. Maron

    David J. Maron

    C. F. Rehnborg Professor and Professor of Medicine (Stanford Prevention Research Center) at the Stanford University Medical Center

    Current Research and Scholarly InterestsDr. Maron is the Co-Chair and Principal Investigator of the ISCHEMIA trial, and Co-Chair of the ISCHEMIA-CKD trial. These large, international, NIH-funded studies will determine whether an initial invasive strategy of cardiac catheterization and revascularization plus optimal medical therapy will reduce cardiovascular events in patients with and without chronic kidney disease and at least moderate ischemia compared to an initial conservative strategy of optimal medical therapy alone.

  • Saurabh Mishra

    Saurabh Mishra

    AI Index Program Manager, Institute for Human-Centered Artificial Intelligence (HAI)

    BioSaurabh Mishra is a researcher and Manager of the AI Index Program at Stanford Institute for Human-Centered Artificial Intelligence (HAI). He is the Editor-in-Chief of the AI Index 2019 Annual Report and leading work in measurement science to inform decision-making on AI.

    His research interests are at the intersection of AI, economics, and decision-making. He is leading research on AI for uncertainty adjusted time-series forecasting to inform public and private investment decisions. His current research also include understanding cognitive aspects of how executives interact with AI systems to make decisions and reach sustainable outcomes.

    Before joining Stanford, Mishra served as an economist at the World Bank, International Monetary Fund (IMF), and International Finance Corporation (IFC). Mishra has consulted for diverse international institutions including Organization for Economic Co-operation and Development (OECD), World Trade Organization (WTO), and advises startups and funds.

    Among his contributions, he pioneered research on the role of hi-tech service sector in economic growth and development to inform diversification strategies in developing countries. His research has been cited by several leading media including The Financial Times, The Economist, Bloomberg.

    He holds a BA in Economics, MS in Applied Economics and Finance from the University of California Santa Cruz, and PhD in Reliability Engineering from the University of Maryland College Park.