Life amounts to stochastic iterations of a stochastic optimization algorithm to optimize a stochastic objective.
El Houcine Bergou Postdoctoral Research Fellow

Education Profile

  • Ph.D, Numerical methods for least squares problems with application to data assimilation, National Institute of Posts and Telecommunications (INPT), France, 2014

As of January 2019, El Houcine Bergou is a Postdoctoral Research Fellow at Extreme Computing Research Center (ECRC) in King Abdullah University of Science and Technology (KAUST), working with Professor Panagiotis Kalnis in his research group. Prior to this, he spent a year as a Postdoctoral Research Fellow in the Optimization and Machine Learning group of Professor Peter Richtárik.

Education and Early Career

Dr. Bergou has a PhD degree in numerical methods for least squares problems with application to data assimilation from the National Institute of Posts and Telecommunications (INPT) in Toulouse, France, 2014. Before joining KAUST, he was a research scientist at National Institute of Agricultural Research (INRA) in France.

Research Interest

El Houcine is focusing on numerical optimization. He’s interested in developing algorithms for continuous optimization non necessary convex problems. He has a particular focus on randomized methods.

Selected Publications