Vice Provost and Dean of Research


Showing 1-10 of 36 Results

  • Monica Lam

    Monica Lam

    Professor of Computer Science, & 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

    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.

  • James Landay

    James Landay

    Anand Rajaraman and Venky Harinarayan Professor

    Current Research and Scholarly InterestsLanday's current research interests include Technology to Support Behavior Change (especially for health and sustainability), Crowdsourcing, Demonstrational User Interfaces, Mobile & Ubiquitous Computing, Cross-Cultural Interface Design, and User Interface Design Tools. He has developed tools, techniques, and a top professional book on Web Interface Design.

    Dr. Landay is the founder and co-director of the World Lab, a joint research and educational effort with Tsinghua University in Beijing.

  • Curtis Langlotz

    Curtis Langlotz

    Professor of Radiology (Thoracic Imaging) and of Biomedical Informatics Research

    Current Research and Scholarly InterestsI am interested in the use of deep neural networks and other machine learning technologies to help radiologists detect disease and eliminate diagnostic errors. My laboratory is developing deep neural networks that detect and classify disease on medical images. We also develop natural language processing methods that use the narrative radiology report to create large annotated image training sets for supervised machine learning experiments.

  • Pauline Larmaraud

    Pauline Larmaraud

    Senior Product Manager, Vice Provost and Dean of Research

    Current Role at StanfordProduct Manager of two university-wide web applications: Stanford On & Off-campus Learning Opportunities (SOLO) and Stanford Seed Funding.

    SOLO (https://solo.stanford.edu) enables departments, research centers, programs and the many other campus units at Stanford to collect applications for internships, international experiences, public service and other opportunities Stanford students have to enrich the learning they get in the classroom and in the Stanford residences they live in. SOLO also provides efficient ways for staff to manage review and selection, awards and preparation for international travel.

    Stanford Seed Funding (https://seedfunding.stanford.edu) enables departments, research centers, programs and the many other campus units to manage calls for proposals from faculty and other researchers to get funding for research and teaching.

  • Anh Thi Le

    Anh Thi Le

    Finance Manager, Institute for Human-Centered Artificial Intelligence (HAI)

    Current Role at StanfordFinance Manager for the Stanford Institute for the Human-Centered Artificial Intelligence