Stanford University
Showing 671-680 of 6,013 Results
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Emmanuel Candes
Barnum-Simons Chair of Math and Statistics, Professor of Statistics, Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and Professor, 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. -
Stivi Canka
Masters Student in Management Science and Engineering, admitted Autumn 2026
BioI am a master's student in Management Science & Engineering, working on optimization and machine learning applied to the infrastructure that makes the world run, spanning manufacturing, logistics, and connectivity.
My background is in economics and mathematics, followed by work in market risk and in technology risk consulting. Across both, the recurring pattern was the same: most of the world is a set of large, poorly specified optimization problems, and comparatively few of them have been solved. At Stanford I am focused on the computational and statistical tools for attacking these problems at scale, with a particular interest in operations problems in emerging markets.
Outside my coursework, I founded Albanian Trailblazers, a mentorship network connecting Albanian students from disadvantaged backgrounds with mentors across more than twenty countries. -
Brian Cantwell
Edward C. Wells Professor in the School of Engineering and Professor of Mechanical Engineering, Emeritus
BioProfessor Cantwell's research interests are in the area of turbulent flow. Recent work has centered in three areas: the direct numerical simulation of turbulent shear flows, theoretical studies of the fine-scale structure of turbulence, and experimental measurements of turbulent structure in flames. Experimental studies include the development of particle-tracking methods for measuring velocity fields in unsteady flames and variable density jets. Research in turbulence simulation includes the development of spectral methods for simulating vortex rings, the development of topological methods for interpreting complex fields of data, and simulations of high Reynolds number compressible and incompressible wakes. Theoretical studies include predictions of the asymptotic behavior of drifting vortex pairs and vortex rings and use of group theoretical methods to study the nonlinear dynamics of turbulent fine-scale motions. Current projects include studies of fast-burning fuels for hybrid propulsion and decomposition of nitrous oxide for space propulsion.
