Institute for Human-Centered Artificial Intelligence (HAI)
Showing 121-140 of 267 Results
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Brian Knutson
Professor of Psychology
Current Research and Scholarly InterestsMy lab and I seek to elucidate the neural basis of emotion (affective neuroscience), and explore implications for decision-making (neuroeconomics) and psychopathology (neurophenomics).
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Mykel Kochenderfer
Associate Professor of Aeronautics and Astronautics, Senior Fellow at the Stanford Institute for Human-Centered AI and Associate Professor, by courtesy, of Computer Science
BioMykel Kochenderfer is Associate Professor of Aeronautics and Astronautics at Stanford University. Prior to joining the faculty, he was at MIT Lincoln Laboratory where he worked on airspace modeling and aircraft collision avoidance, with his early work leading to the establishment of the ACAS X program. He received a Ph.D. from the University of Edinburgh and B.S. and M.S. degrees in computer science from Stanford University. Prof. Kochenderfer is the director of the Stanford Intelligent Systems Laboratory (SISL), conducting research on advanced algorithms and analytical methods for the design of robust decision making systems. Of particular interest are systems for air traffic control, unmanned aircraft, and other aerospace applications where decisions must be made in uncertain, dynamic environments while maintaining safety and efficiency. Research at SISL focuses on efficient computational methods for deriving optimal decision strategies from high-dimensional, probabilistic problem representations. He is an author of "Decision Making under Uncertainty: Theory and Application" (2015), "Algorithms for Optimization" (2019), and "Algorithms for Decision Making" (2022), all from MIT Press. He is a third generation pilot.
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Michal Kosinski
Associate Professor of Organizational Behavior at the Graduate School of Business
BioPlease visit: http://www.michalkosinski.com/
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Rohini Kosoglu
Hai Policy Fellow, Institute for Human-Centered Artificial Intelligence (HAI)
Staff,BioRohini Kosoglu is a leading national expert on domestic policy and veteran of the White House, Congress, and presidential campaigns. She currently serves as a Policy Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and Director of Public Policy and Political Affairs at the Stanford Byers Center for Biodesign. She is also a Venture Partner at Fusion Fund, a venture firm that focuses on early-stage technology and health care investments. Kosoglu has been at the forefront of driving transformative change in social, technology, and economic policy over the last two decades. She also has the distinction of being the first South Asian American woman to hold the roles of both Domestic Policy Advisor to the Vice President and Chief of Staff in the United States Senate.
Kosoglu recently served as Deputy Assistant to the President and Domestic Policy Advisor to the Vice President. In this role, Kosoglu became the first Asian American woman to hold this position. She led and promoted initiatives on behalf of the President and Vice President to strengthen democracy, advance gender and racial equity, and create economic mobility for millions of American workers and families. Kosoglu also served as a key advisor during the creation and implementation of the American Rescue Plan, including the national response to the COVID-19 crisis, the CHIPS Act, the AI Bill of Rights, the bipartisan infrastructure law and the Cancer Moonshot. On behalf of the Vice President, she helped forge a number of public-private partnerships in the White House, ultimately driving billions of private sector dollars towards national priorities of the President and Vice President and leveraged the strengths of both the government and private-sector. Vice President Harris praised Kosoglu as “a brilliant and trusted leader” who “brought vision, strategic judgement, and a depth of experience as our Administration has addressed some of the most urgent challenges facing our nation.”
Earlier, Kosoglu made history as the first South Asian American woman to serve as Chief of Staff in the United States Senate under then-U.S. Senator Kamala Harris. She managed hearing preparations for some of the highest-profile Senate hearings over the last decade including investigations around data privacy, cybersecurity, and social media interference during the 2016 U.S. presidential election, as well as Supreme Court nomination hearings. Additionally, under her organizational leadership, the Joint Center for Political and Economic Studies named Harris’ office under Kosoglu's tenure as the most diverse in the U.S. Senate.
Kosoglu’s career in the United States Congress has also included over a decade of leadership positions crafting social, economic, and technology policy initiatives with senior Democratic Senators, including U.S. Senator Michael Bennet of Colorado and U.S. Senator Debbie Stabenow of Michigan. Notably, Kosoglu was a key negotiator during the passage of the historic Affordable Care Act. She also was a lead negotiator and drafter during the reform of the Food and Drug Administration which led to landmark designations for approval of innovative drugs and devices, known today as Breakthrough Therapies and Breakthrough Devices, respectively, as well as laws to strengthen patient-centered care in the 21st Century Cures Act.
Kosoglu was a former resident fellow at the Harvard Institute of Politics at the Kennedy School and received her bachelor’s degree with honors from the University of Michigan and a master’s degree from George Washington University. She serves on several nonprofit boards and advises across the public and private sectors. -
Anshul Kundaje
Associate Professor of Genetics and of Computer Science
Current Research and Scholarly InterestsWe develop statistical and machine learning frameworks to learn predictive, dynamic and causal models of gene regulation from heterogeneous functional genomics data.
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Monica Lam
Kleiner Perkins, Mayfield, Sequoia Capital Professor in the School of Engineering and Professor, by courtesy, of Electrical Engineering
BioDr. Monica Lam is a Professor in the Computer Science Department at Stanford University, and the Faculty Director of the Stanford Open Virtual Assistant Laboratory. Dr. Monica Lam obtained her BS degree in computer science from University of British Columbia, and her PhD degree in computer science from Carnegie Mellon University in 1987. She joined Stanford in 1988.
Professor Lam's current research is on conversational virtual assistants with an emphasis on privacy protection. Her research uses deep learning to map task-oriented natural language dialogues into formal semantics, represented by a new executable programming language called ThingTalk. Her Almond virtual assistant, trained on open knowledge graphs and IoT API standards, can be easily customized to perform new tasks. She is leading an Open Virtual Assistant Initiative to create the largest, open, crowdsourced language semantics model to promote open access in all languages. Her decentralized Almond virtual assistant that supports fine-grain sharing with privacy has received Popular Science's Best of What's New Award in Security in 2019.
Prof. Lam is also an expert in compilers for high-performance machines. Her pioneering work of affine partitioning provides a unifying theory to the field of loop transformations for parallelism and locality. Her software pipelining algorithm is used in commercial systems for instruction level parallelism. Her research team created the first, widely adopted research compiler, SUIF. She is a co-author of the classic compiler textbook, popularly known as the “dragon book”. She was on the founding team of Tensilica, now a part of Cadence.
Dr. Lam is a Member of the National Academy of Engineering and an Association of Computing Machinery (ACM) Fellow. -
Eric Lambin
George and Setsuko Ishiyama Provostial Professor and Senior Fellow at the Woods Institute for the Environment
Current Research and Scholarly InterestsI study human-environment interactions in land systems by linking remote sensing, GIS and socio-economic data. I aim at better understanding causes and impacts of changes in tropical forests, drylands, and farming systems. I currently focus on land use transitions – i.e., the shift from deforestation (or land degradation) to reforestation (or land sparing for nature), – the influence of globalization on land use decisions, and the interactions between public and private governance of land use.
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James Landay
Denning Co-Director (Acting) of Stanford Institute for Human-Centered AI, Anand Rajaraman and Venky Harinarayan Professor and Senior Fellow at the Stanford Institute for Human-Centered AI
Current Research and Scholarly InterestsLanday's current research interests include Technology to Support Behavior Change (especially for health and sustainability), Demonstrational User Interfaces, Mobile & Ubiquitous Computing, Cross-Cultural Interface Design, Human-Centered AI, and User Interface Design Tools. He has developed tools, techniques, and a top professional book on Web Interface Design.
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Curtis Langlotz
Senior Associate Vice Provost for Research, Professor of Radiology (Integrative Biomedical Imaging Informatics), of Medicine (BMIR), of Biomedical Data Science and Senior Fellow at the Stanford Institute for Human-Centered AI
Current Research and Scholarly InterestsMy laboratory develops machine learning methods to help physicians detect disease and eliminate diagnostic errors. My laboratory is developing neural network systems that detect and classify disease on medical images. We also develop natural language processing methods that use the narrative radiology report for contrastive learning and other multi-modal methods that improve the accuracy and capability of machine learning systems.
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Victor R. Lee
Associate Professor of Education
Current Research and Scholarly InterestsAI literacy, data literacy, quantified self, maker education, conceptual change in science, elementary computer science education
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Mark Lemley
William Neukom Professor of Law and Senior Fellow at the Stanford Institute for Economic Policy Research
Current Research and Scholarly Interestsintellectual property, Internet, and antitrust law; law and AI/robotics
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Jure Leskovec
Professor of Computer Science
BioJure Leskovec is Professor of Computer Science at Stanford University. He is affiliated with the Stanford AI Lab, Machine Learning Group and the Center for Research on Foundation Models. In the past, he served as a Chief Scientist at Pinterest and was an investigator at Chan Zuckerberg BioHub. Leskovec recently pioneered the field of Graph Neural Networks and co-authored PyG, the most widely-used graph neural network library. Research from his group has been used by many countries to fight COVID-19 pandemic, and has been incorporated into products at Facebook, Pinterest, Uber, YouTube, Amazon, and more.
His research received several awards including Microsoft Research Faculty Fellowship in 2011, Okawa Research award in 2012, Alfred P. Sloan Fellowship in 2012, Lagrange Prize in 2015, and ICDM Research Contributions Award in 2019. His research contributions have spanned social networks, data mining and machine learning, and computational biomedicine with the focus on drug discovery. His work has won 12 best paper awards and 5 10-year test of time awards at a premier venues in these research areas.
Leskovec received his bachelor's degree in computer science from University of Ljubljana, Slovenia, PhD in machine learning from Carnegie Mellon University and postdoctoral training at Cornell University.