Sept 2020 I am looking for interns in the area of fairness in machine learning, auctions, and blockchains; in particular based on online learning and game theory. If you are interested, please check some topics below and contact me to learn more.
Fair Online Classification with Partial Feedback
Online Algorithms for Fair Ad Auctions
A mathematical analysis of positive discrimination mechanisms in multi-dimensions
Fair transactions ordering in a blockchain
Sept 2020 I have received a young researcher grant (JCJC) from ANR on "FairPlay: Fair algorithms via game theory and sequential learning"
Sept 2020 I am starting a part-time Professor position (Professeur chargé de cours) at the CS dept (DIX) of Ecole Polytechnique
May 2020 Our paper on the effect of positive discrimination under implicit variance was accepted at EC. Congrats to Vitalii!
Dec 2019 Our NDSS '18 paper on Facebook ads transparency was runner-up for the 2019 CNIL-Inria Award for privacy protection. Congrats to Thanos and Giri!
Nov 2019 Our paper on path planning semi-bandits with side observations (and applications to Blotto games) was accepted at AAAI. Congrats to Quan!
Sept 2019 Our paper on adversarial hypothesis testing was accepted at NeurIPS. Congrats to Sarath!
Aug 2019 Our S&P '18 paper on privacy of PII-based targeting was runner-up for the Caspar Bowden PET Award. Congrats to Giri and Thanos!
June 2019 With Oana, we wrote articles on our work on online ads transparency for The conversation France and the blog Binaire from Le Monde (in french)
May 2019 Our paper on fairness in multistage classification has been accepted at IJCAI '19. Congrats to Vitalii!
Apr 2019 I will be the co-holder (with Marie-Christine Rousset) of a Chair on "Explainable and Responsible AI" within the MIAI@Grenoble Alpes institute.
Nov 2018 Benjamin has received the prize for best MSc thesis in OR from the ROADEF for his work on adversarial classification. Congrats Benjamin!
Nov 2018 Our paper looking at the facebook ad ecosystem with AdAnalyst has been accepted at NDSS '19. Congrats to Thanos and Marcio!
Oct 2018 Our paper on fair representation in crowdsourced recommendation has been accepted at FAT* '19. Congrats to Abhijnan!
Sep 2018 I will join Inria as a permanent researcher starting in November 2018!
Aug 2018 Our paper proposing a new approach based on intermittent withdrawal for deletion privacy has been accepted at PETS '19. Congrats to Mohsen!
Apr 2018 Our paper on efficient computation of approximate equilibrium in Blotto games has been accepted at IJCAI '18. Congrats to Quan!
Jan 2018 Our work on privacy leakage from Facebook's advertising platform was covered by WIRED and The Telegraph.
Dec 2017 I will give a talk for a large audience on transparency of social media advertising (in french), on Jan. 24 at the festival transfo.
Dec 2017 Our paper on privacy leakage from Facebook's advertising platform has been accepted at Oakland '18 (IEEE S&P). Congrats to Giri and Thanos!
Nov 2017 Our paper on the potential for discrimination in targeted advertising has been accepted at FAT* '18. Congrats to Till et al!
Oct 2017 Our paper on transparency of social media advertising has been accepted at NDSS '18. Congrats to Thanos and Giri!
Oct 2017 I have joined the LIG lab at Univ. Grenoble Alpes as the holder of a Chair of Excellence IDEX UGA on "human-aware learning in the digital society".
Oct 2017 Our tool AdAnalyst has been released. Check it out if you want to learn more about how you are being targeted on Facebook. Feedback is highly welcome!

Since November 2018, I am a research scientist at Inria Grenoble Rhône-Alpes, in the POLARIS team (a joint Inria/LIG team), where I am also a member of the LIG lab; and since September 2020, I am also a part-time Professor (Professeur Chargé de Cours) at Ecole Polytechnique, in the CS department (DIX). Since June 2019, I am the co-holder of a Chair of the MIAI@Grenoble Alpes institute on "Explainable and Responsible AI". From October 2017 to October 2018, I was the holder of a Chair of Excellence IDEX UGA at Univ. Grenoble Alpes (UGA) on "human-aware learning in the digital society", in the POLARIS team at LIG. Before joining UGA, I was an Assistant Professor in the data science department at EURECOM and I spent several long research visits at UC Berkeley and MPI-SWS. In particular, from April 2016 to October 2018, I was a visiting researcher at the Max-Planck Institute for Software Systems (MPI-SWS), supported by a Humboldt fellowship for experienced researchers.

I received my PhD in CS from ENS Lyon in 2009. Prior to that, I studied Physics at ENS Lyon (MSc '06) and after that I also studied Mathematics at UPMC (Paris 6) and Ecole Polytechnique (MSc '10). I was a postdoc at Inria Paris in 2010 and at UC Santa Cruz in 2011. I also received my HDR from UPMC in 2016.

My research interests revolve around game theory and statistical learning and their interactions, in particular in the context of security, privacy and ethics of online systems and algorithms. I am fortunate to work with a number of talented students and postdocs and to have my research supported by various public bodies and industries. Check my research page for more details about my research.

I am the chair of the steering committee of NetEcon and an associate editor of ACM Transactions on Internet Technology and IEEE Transactions on Big Data. I was a PC co-chair of NetEcon '12-'15 and I serve or have served as a PC member of numerous conferences (NeurIPS, ICML, AAAI, IJCAI, SIGMETRICS, PETS, WiOpt, GameSec, etc.), as a guest editor of two journal special issues, as a reviewer for numerous journals and as a member of several evaluation committees for PhDs or panels for grant selection. For a complete list, please refer to my CV.