Emmanuel Candes
BarnumSimons Chair in Math and Statistics, and Professor of Statistics and, by courtesy, of Electrical Engineering
Bio
Emmanuel Candès is the BarnumSimons 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 earlycareer 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 solidstate physics. He was elected to the National Academy of Sciences and to the American Academy of Arts and Sciences in 2014.
Academic Appointments

Professor, Mathematics

Professor, Statistics

Professor (By courtesy), Electrical Engineering
Honors & Awards

2015 George David Birkhoff Prize, American Mathematical Society (AMS) & Society for Industrial and Applied Mathematics (SIAM) (2015)

Fellow, American Academy of Arts and Sciences (2014)

Invited Plenary Address at ICM 2014, International Mathematical Union (2014)

Member, National Academy of Sciences (2014)

Prix Jean Kuntzmann, Laboratoire Jean Kuntzmann and PERSYVALlab (2014)

Dannie Heineman Prize, Academy of Sciences at Göttingen (2013)

Lagrange Prize in Continuous Optimization, Mathematical Optimization Society (MOS) and Society of Industrial and Applied Mathematics (SIAM) (2012)

Collatz Prize, International Council for Industrial and Applied Mathematics (ICIAM) (2011)

Simons Chair, Math + X, Simons Foundation (2011)

George Polya Prize, Society of Industrial and Applied Mathematics (SIAM) (2010)

Information Theory Society Paper Award, Information Theory Society (2008)

Alan T. Waterman Medal, National Science Foundation (2006)

James H. Wilkinson Prize in Numerical Analysis and Scientic Computing, Society of Industrial and Applied Mathematics (SIAM) (2005)

Best Paper Award, European Association for Signal, Speech and Image Processing (2003)

Young Investigator Award, Department of Energy (2002)

Sloan Research Fellow, Alfred P. Sloan Foundation (20012003)

Third Popov Prize in Approximation Theory, Popov Foundation (2001)

DRET Fellowship, Ecole Polytechnique (19931997)

National Scholarship, Ecole Polytechnique (1990)
Professional Education

Diplome Ingenieur, Ecole Polytechnique (1993)

PhD, Stanford University, Statistics (1998)
201415 Courses
 Advanced Topics in Convex Optimization
MATH 301 (Win)  Theory of Statistics
STATS 300C (Spr) 
Independent Studies (10)
 Advanced Reading and Research
MATH 360 (Aut, Win, Spr, Sum)  Independent Study
STATS 199 (Aut, Win, Spr, Sum)  Independent Study
STATS 299 (Aut, Win, Spr, Sum)  Industrial Research for Statisticians
STATS 298 (Aut, Win, Spr, Sum)  Industrial Research for Statisticians
STATS 398 (Aut, Win, Spr, Sum)  Master's Research
CME 291 (Win, Spr, Sum)  Ph.D. Research
CME 400 (Aut, Win, Spr, Sum)  Research
STATS 399 (Aut, Win, Spr, Sum)  Research Literature of Mathematics
MATH 352 (Sum)  Special Research Topics in Computational and Mathematical Engineering
CME 399 (Win, Spr, Sum)
 Advanced Reading and Research

Prior Year Courses
201314 Courses
 Applied Fourier Analysis and Elements of Modern Signal Processing
MATH 262 (Win)  Literature of Statistics
STATS 319 (Spr)  Theory of Statistics
STATS 300C (Spr)  Top Ten Algorithms of the 20th Century
CME 329, MATH 310 (Aut)
201213 Courses
 Advanced Topics in Convex Optimization
MATH 301 (Win)  Practical Training
MATH 198 (Sum)  Theory of Statistics
STATS 300C (Spr)
201112 Courses
 Applied Matrix Theory
MATH 104 (Win)  Modern Markov Chains
STATS 318 (Spr)  Theory of Statistics
STATS 300C (Spr)
 Applied Fourier Analysis and Elements of Modern Signal Processing