Teachings & talks

A short list of classes that I gave as a teaching assistant, places in which I had the opportunity to present my work, and people I had the pleasure to work with.

Invited talks

AI workshop @ Huawei, Montréal, 30/11/18
“KONG: Kernels for ordered-neighborhood graphs”

Noah’s Ark forum, Huawei, 20/09/18
“New results in distributed optimization and consensus learning”

ROADEF SMAI-MODE day on optimization in networks, Institut Henri Poincaré, 08/06/18
“New results in distributed optimization and consensus learning”

Séminaire Parisien de Statistique, Institut Henri Poincaré, 19/03/18
“Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks”

INRIA/Technicolor workshop on “scalable computing” (WOS7) , Rennes, 30/11/17
“Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks”

Asilomar conference, Pacific Groves, 31/10/17
“Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks”

Eurandom workshop on “Community detection and network reconstruction”, Eindhoven, 22/09/17
“New results in distributed optimization and consensus learning”

INRIA, Infine seminar, Palaiseau, 12/05/17
“Optimal convergence rates for distributed optimization”

Télécom ParisTech, S^2A seminar, Paris, 26/04/17
“Optimal convergence rates for distributed optimization”

ENS, Dyogene – Rap seminar, Paris, 24/03/17
“The effect of network topology on human and machine communications”

Theory Lunch at Microsoft Research, Redmond, 11/01/17
“Spectral bounds in random graphs and the long-term influence of information cascades”

Seminar of the Institute for Applied Mathematics, Bonn University, 21/12/16
“From metric spaces to the analysis of large networks”

Modeling seminar at LPMA, Paris VII University, 09/06/16
“Spectral bounds in random graphs: Local Positive Correlation, percolation and the long-term influence of information cascades”

Statistical Machine Learning in Paris (SMILE) seminar, Paris, 04/04/16
“Information as a virus: Inference and control of diffusion processes on networks”

Teachings

TA in Statistics, Ecole Centrale Paris, 2013 – 2015
Statistics class for first year students and R coding lessons for third year students

TA in Machine Learning, Ecole Normale Supérieure de Cachan, 2014 – 2016
Master 2 MVA “Introduction to Statistical Learning”

TA in Probability, Ecole Normale Supérieure de Cachan, 2015 – 2016
License 3 “Probabilité 2”

Interns (co-supervised with A. Kalogeratos and N. Vayatis)

Luca Corinzia, 2016
“Activity shaping in social networks”

Stefano Sarao, 2016
“An interventional strategy for competitive diffusion processes”

Xavier Lioneton, 2015
“Clustering of twitter activity patterns”

Matteo Sesia, 2015
“Network inference by observing SIS processes”

Suzanne Schlich, Julie Tourniaire, 2015
“Structure and pattern analysis on information diffusion signals”

Patrick Saux, David Marchand, 2014
“Graph inference using observations on diffusion processes”

Other activities

Reviewer for the Journal of the Royal Statistical Society, Journal of Machine Learning Research, COLT, Mathematics of Operations Research, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Network Science and Engineering, IEEE Conference on Decision and Control, and Computational Social Networks.

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