OUR PEOPLE

QLA brings together a multidisciplinary team of scholars to lead the development of our priority research programs. Drawing on expert talent from across the world, QLA works with only the best.

Prof. Emmanuel Candes
Professor of mathematics, statistics, and electrical Engineering, Stanford university.
RESEARCH INTERESTS
Compressive sensing, mathematical signal processing, computational harmonic analysis, statistics, scientific computing. Applications to the imaging sciences and inverse problems.
Other topics of recent interest include theoretical computer science, mathematical optimization, and information theory.

Emmanuel is the Barnum-Simons Chair in Mathematics and Statistics.

AWARDS
PAST ROLES
Assistant Professor of Statistics, Stanford,1998-2000
Assistant Professor of Applied and Computational Mathematics, Caltech,2000-03
Associate Professor,2003-05, Professor 2005-06
Ronald and Maxime Linde Professor,2006-11
Professor of Mathematics and of statistics, Stanford

Emmanuel is a Professor of Mathematics and of Statistics and a Professor of Electrical Engineering (by courtesy). His research areas include comprehensive sensing, mathematical signal processing, computational harmonic analysis, statistics, scientific computing, imaging sciences and inverse problems. Other areas of interest include theoretical computer science, mathematical optimization and information theory.

He holds diploma from the Ecole Polytechnique as well as a PhD in Statistics from Stanford University.

OUR PEOPLE
Dr. Prince Osei
Lead Scientist & Director, Quantum Leap Africa (QLA)
Thierry Zomahoun
AIMS President & CEO
Prof. Terry Rudolph
Scientific Advisory Council
Prof. Maria Fasli
Scientific Advisory Council