I defended my PhD in Mathematics and Computer Science in June 2017
Member of LEAR and  BiPoP Teams, INRIA, Grenoble University 
 
 LinkedIn  
 federicopierucci.eu  
 Research
 During my PhD I worked with my supervisors  Anatoli Iouditski (director), Zaid Harchaoui (co-encadrant), Jerome Malick (co-encadrant) on on large-scale non-smooth optimization for machine learning.
 Slides  of my PhD defense
Interests
- Convex Optimization
 - Machine Learning
 - Computer Vision
 
 In particular 
-  Smoothing of nonsmooth loss functions
 -  Trace norm regularized optimization
 -  Collaborative filtering
 -  Multi class classification
 -  Frank-Wolfe / conditional gradient type methods
 
 Publications 
-  F. Pierucci, Z. Harchaoui, J. Malick, 2014 -   A smoothing approach for composite conditional gradient with nonsmooth loss  -
Conférence d'Apprentissage Automatique (Cap'2014) 
 
 
 BibTeX 
@conference{pierucci2014,
       title={A smoothing approach for composite conditional gradient with nonsmooth loss},
       author={Pierucci, Federico and Harchaoui, Zaid and Malick, J{\'e}r{\^o}me},
       year={2014},
       journal={Conf{\'e}rence d'Apprentissage Automatique}
}
 Slides 
 
 International experiences 
 Seminars 
 Workshop co-organization 
  Affiliations
-   SAM Team   -  Mathematical statistics, machine learning, signal and image processing
 
- 	 Laboratoire Jean Kuntzmann - The applied mathematics and computer science laboratory in Grenoble    
 
- 	 ED MSTII - Doctoral school for computer sciences, applied and pure mathematics in Grenoble    
 
- 	Université Joseph Fourier - The science and technology University of Grenoble    
 
 Teaching 
-  [Fall 2012, fall 2013, fall 2014]  Mathematics MAT11a  192 hours equivalent TD - Département licence sciences et technologies - Grenoble University 
 
 Professional Affiliations 
-  Mathematical Optimization Society (MOS)
 -  Society for Industrial and Applied Mathematics (SIAM)