Emmanuel Abbe

Associate Professor of Electrical Engineering
Phone: 
609-258-4692
Email Address: 
eabbe@princeton.edu
Assistant: 
Office Location: 
B322 Engineering Quadrangle, 212 Fine Hall
Degrees: 
  • Ph.D., Massachusetts Institute of Technology, 2008
  • M.S., Mathematics, EPFL, 2003

Associate Professor of Electrical Engineering
Associated Faculty in Mathematics
Faculty in the Program in Applied and Computational Mathematics (PACM)

Emmanuel Abbe received his Ph.D. degree from the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology in 2008, and his M.S. degree from the Department of Mathematics at the Ecole Polytechnique Fédérale de Lausanne in 2003. He joined Princeton University as an assistant professor in 2012 and became associate professor in 2016, jointly in the Program for Applied and Computational Mathematics and the Department of Electrical Engineering. He is also an associate faculty in the Department of Mathematics at Princeton University since 2016. He is the recipient of the Foundation Latsis International Prize, the Bell Labs Prize, the NSF CAREER Award, the Google Faculty Research Award, the Walter Curtis Johnson Prize for Teaching Excellence and the von Neumann Fellowship from the Institute for Advanced Study.

 

 

    Publications List: 
    1. E. Abbe, J. Fan, K. Wang, Y. Zhong, Entry-wise eigenvector analysis for low-rank random matrix perturbations. Annals of Statistics.

    2. E. Abbe, L. Massoulié, A. Montanari, A. Sly, N. Srivastava, Group synchronization on grids. Mathematical Statistics and Learning. 

    3. E. Abbe, Community detection and stochastic block models: recent developments. Special Issue of the Journal on Machine Learning Research, 2017

    4. E. Abbe, C. Sandon, Proof of the achievability conjectures for the general stochastic block model. Communications on Pure and Applied Mathematics, 2017

    5. E. Abbe, C. Sandon, Achieving the KS threshold in the stochastic block model with linearized acyclic belief propagation, To appear in Proc. of Annual Conference on Neural Information Processing Systems (NIPS), Barcelona, 2016.

    Honors and Awards: 

    • Bell Labs Prize
    • Walter Curtis Johnson Prize for Teaching Excellence
    • NSF CAREER Award
    • Google Faculty Research Award
    • von Neumann Fellowship
    • Foundation Latsis International Prize