Stanford Data Science
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Barnum-Simons Chair of Math and Statistics, and Professor of Statistics and, by courtesy, of Electrical Engineering
BioEmmanuel Candès is the Barnum-Simons Chair in Mathematics and Statistics, a professor of electrical engineering (by courtesy) and a member of the Institute of Computational and Mathematical Engineering at Stanford University. Earlier, Candès was the Ronald and Maxine Linde Professor of Applied and Computational Mathematics at the California Institute of Technology. His research interests are in computational harmonic analysis, statistics, information theory, signal processing and mathematical optimization with applications to the imaging sciences, scientific computing and inverse problems. He received his Ph.D. in statistics from Stanford University in 1998.
Candès has received several awards including the Alan T. Waterman Award from NSF, which is the highest honor bestowed by the National Science Foundation, and which recognizes the achievements of early-career scientists. He has given over 60 plenary lectures at major international conferences, not only in mathematics and statistics but in many other areas as well including biomedical imaging and solid-state physics. He was elected to the National Academy of Sciences and to the American Academy of Arts and Sciences in 2014.
Director of Open Scholarship Strategy, Stanford Data Science
Current Role at StanfordIn collaboration with faculty and research teams, advances open science practices at Stanford and beyond. Data sharing, methods sharing, rigor & reproducibility, open access, open source software, persistent identifiers, &c. Represents Stanford at the HELIOS initiative and other fora. Identifies emerging centers of excellence, and helps good ideas achieve escape velocity. Curiosity, humility, and a thorough understanding of Joy’s Law will be part of our success.
Assistant Professor of Psychology and, by courtesy, of Linguistics
BioLaura Gwilliams is jointly appointed between Stanford Psychology, Wu Tsai Neurosciences Institute and Stanford Data Science. Her work is focused on understanding the neural representations and operations that give rise to speech comprehension in the human brain. To do so, she brings together insight from neuroscience, linguistics and machine learning, and takes advantage of recording techniques that operate at distinct spatial scales (MEG, ECoG and Neuropixels).
Professor of Management Science and Engineering and, by courtesy, of Electrical Engineering and of Computer Science
BioJohari is broadly interested in the design, economic analysis, and operation of online platforms, as well as statistical and machine learning techniques used by these platforms (such as search, recommendation, matching, and pricing algorithms).
Benjamin M. Page Professor, William Wrigley Senior Fellow at the Freeman Spogli Institute, at the Woods Institute for the Environment and at the Stanford Institute for Economic Policy Research
Current Research and Scholarly InterestsWe study the interactions between food production, food security, and the environment using a range of modern tools.
Executive Director, Data Sciences, Stanford Data Science
BioChris is executive director of a newly formed data science effort at Stanford University, which engages the entire campus community in developing and leveraging new data science theory and practice to accelerate research.
Previously, Chris started and led the Moore Foundation's Data-Driven Discovery Initiative, an $80 million effort within the Science Program to enable data scientists to turn the scientific data deluge into opportunities to address some of today's most important research questions. He also led the grants administration department and worked as senior network engineer for the foundation. Chris has held positions as a systems engineer and integrator at the University of California, Berkeley, and at various Internet consulting firms in the Bay Area. An active member of the broader big data and open science communities, Chris serves on a number of advisory boards and program committees and speaks frequently at conferences and workshops on topics related to data-driven research.
Chris received a B.A. in mathematics from the University of California, Santa Cruz, and an M.Sc. in management science and engineering at Stanford University.
Albert Ray Lang Professor of Psychology
Current Research and Scholarly InterestsOur lab uses the tools of cognitive neuroscience to understand how decision making, executive control, and learning and memory are implemented in the human brain. We also develop neuroinformatics tools and resources to help researchers make better sense of data.