Vice Provost and Dean of Research
Showing 1-10 of 30 Results
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 MobiSocial 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 research mission is to disrupt the status quo where centralized monopoly platforms are prevalent and consumers privacy is compromised. This challenging problem led her to ten years of research in many disciplines in computer science: natural language processing, machine learning, compilers, distributed systems, and human-computer interaction. She advocates the development of open-source virtual assistants that users can “program” in natural language; these assistants should be federated to give users choice and to support sharing without a centralized third party. Her research prototype demonstrates a viable open-source alternative to the emerging oligopoly of virtual assistants.
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”.
Dr. Lam is a Member of the National Academy of Engineering and an Association of Computing Machinery (ACM) Fellow.
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.
Anand Rajaraman and Venky Harinarayan Professor in the School of Engineering
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.
Professor of Radiology (Thoracic Imaging) and of Biomedical Informatics Research at the Stanford University Medical Center
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.
Manager, Research Information Technology and Innovation, 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
Finance Manager, Institute for Human-Centered Artificial Intelligence (HAI)
Current Role at StanfordFinance Manager for the Stanford Institute for the Human-Centered Artificial Intelligence