Institute for Human-Centered Artificial Intelligence (HAI)


Showing 1-10 of 20 Results

  • Marisa Medina MacAskill

    Marisa Medina MacAskill

    Education Program Manager, Fellowships & Faculty Affairs, Institute for Human-Centered Artificial Intelligence (HAI)

    BioMarisa MacAskill joined the Stanford Institute for Human-Centered Artificial Intelligence (HAI) in 2020 and serves as the Program Manager for Education and Fellowships, as well as leading the charge for HAI Faculty Affairs. Marisa started her career at Stanford in 2017 as the Fellowships 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 InterestsHydrology, reactive transport modeling and environmental geochemistry

  • Christopher Manning

    Christopher Manning

    Thomas M. Siebel Professor of 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)

    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.

  • Nestor Maslej

    Nestor Maslej

    Research Associate, Institute for Human-Centered Artificial Intelligence (HAI)

    BioNestor Maslej is a Research Associate at Stanford’s Institute for Human-Centered Artificial Intelligence (HAI). In this position, he uses a combination of quantitative and qualitative methodologies to conduct research for the AI Index and Global AI Vibrancy Tool. Nestor also leads research projects that study AI in the context of technical advancement, ethical concerns and policymaking. In developing tools that track the advancement of AI, Nestor hopes to make the AI space more accessible to both policymakers and citizens. His work is also oriented towards building knowledge about AI in a way that facilitates more productive dialogues surrounding its future and can lead to its development in ethically responsible ways.

    Prior to joining HAI, Nestor worked in Toronto as an analyst in several startups. He graduated from the University of Oxford in 2021 with an MPhil in Comparative Government, where he used machine learning methodologies to study the Canadian Indian Residential schooling system and Harvard College in 2017 with an A.B. in Social Studies.

  • Holly Elizabeth McCall

    Holly Elizabeth McCall

    Policy Program Coordinator, Institute for Human-Centered Artificial Intelligence (HAI)

    BioHolly McCall is the Policy Coordinator at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). She works with policy programs centered around emerging technology, and provides operational support for the policy research manager. The policy team seeks to connect AI technology research and policy communities.

    Holly transferred to HAI, from Stanford School of Engineering, Office of the Dean, and has worked in a variety of settings in the non-profit and philanthropy world. She holds an M.A. in International Relations from Florida State University and a B.A. in Business Administration at Andrews University.

  • Jay McClelland

    Jay McClelland

    Lucie Stern Professor in the Social Sciences and Professor, by courtesy, of Linguistics and of Computer Science
    On Leave from 04/01/2022 To 06/30/2022

    Current Research and Scholarly InterestsMy research addresses topics in perception and decision making; learning and memory; language and reading; semantic cognition; and cognitive development. I view cognition as emerging from distributed processing activity of neural populations, with learning occurring through the adaptation of connections among neurons. A new focus of research in the laboratory is mathematical cognition, with an emphasis on the learning and representation of mathematical concepts and relationships.