About the Authors
Emmanuel Abbe
Assistant professor
Princeton University, Princeton, NJ
eabbe[ta]princeton[td]edu
www.princeton.edu/~eabbe
Assistant professor
Princeton University, Princeton, NJ
eabbe[ta]princeton[td]edu
www.princeton.edu/~eabbe
Emmanuel Abbe received his Ph.D. from the EECS department
at M.I.T. under the supervision
of Lizhong Zheng,
and his M.Sc. degree from the Mathematics Department at
EPFL. He is currently an
assistant professor in the Department of Electrical Engineering and
in the Program for Applied and Computational Mathematics at
Princeton University.
His research interests are in coding theory, random graphs,
and in the interplay between those fields.
Andrea Montanari
Associate professor
Stanford University, Stanford, CA
montanari[ta]stanford[td]edu
web.stanford.edu/~montanar
Associate professor
Stanford University, Stanford, CA
montanari[ta]stanford[td]edu
web.stanford.edu/~montanar
Andrea Montanari is an associate professor in the
Departments of Electrical Engineering and of Statistics, Stanford
University. He received the Laurea degree in physics in 1997, and
the Ph.D. in theoretical physics in 2001, both from Scuola Normale
Superiore, Pisa, Italy. He has been a Postdoctoral Fellow with the
Laboratoire de Physique Théorique of Ecole Normale
Supérieure (LPTENS), Paris, France, and the Mathematical
Sciences Research Institute, Berkeley, CA. From 2002 to 2010 has
been Chargé de Recherche at LPTENS. In September 2006, he
joined the faculty of Stanford University. Dr. Montanari was
co-awarded the ACM SIGMETRICS Best Paper Award in 2008. He received
the CNRS Bronze Medal for Theoretical Physics in 2006, the National
Science Foundation CAREER award in 2008, and the Okawa Foundation
Research Grant in 2013. His research focuses on algorithms on
graphs, graphical models, statistical inference and estimation.