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François Durand


I was a student at the École Normale Supérieure, rue d'Ulm from 2000 to 2005. My formation was in Physics, Computer Science and Political Science. From 2003 to 2010, I worked in the humanitarian field as a trainer, financial coordinator and manager. From 2011 to 2015, I worked at LINCS, a joint lab between academics and industrials, as a research engineer in the GANG research team. In 2015-2017, I worked as a postdoctorate associate in a joint project involving the LAMSADE of Université Paris Dauphine and the CREM team of Université Caen - Basse Normandie. Since 2018, I have been working in the Gandalf team of Nokia Bell Labs France and back in the LINCS.

In my doctorate and posdoctorate works, I worked mostly on voting systems and their manipulability (tactical voting), using computer simulations and tools from game theory. For an overview, watch my PhD defense. I developped SVVAMP, Simulator of Various Voting Algorithms in Manipulating Populations, a Python package dedicated to the study of voting systems and their manipulability : https://svvamp.readthedocs.org. These days I am more active on Whalrus (https://whalrus.readthedocs.io), a Python package dedicated to the use of various voting systems for practical applications.

Since 2018, I have embraced an additional axis of research: the application of deep neural networks to problems where communication and collaboration are the central issues.


Isabelle Lebon   

Preprints, Working Papers, ...2 documents

  • Sylvain Bouveret, Renaud Blanch, Antoinette Baujard, François Durand, Herrade Igersheim, et al.. Voter Autrement 2017 for the French Presidential Election: The data of the In Situ Experiments. 2019. ⟨halshs-02379941⟩
  • Sylvain Bouveret, Renaud Blanch, Antoinette Baujard, François Durand, Herrade Igersheim, et al.. Voter Autrement 2017 - Online Experiment. 2018. ⟨hal-03223762⟩