Tiphaine ViardAssociate Professor

I am an associate professor in the Digital Technologies, Organization and Society team at Telecom Paris.

My research interests are broadly located at the interplay of graphs and machine learning, and in how graph-based methods can help us towards more transparent and responsible machine learning models.

Before, I was a posdoctoral researcher at LIPN, where I focused on pattern mining on graphs; I have also been a postdoctral researcher at the Riken Center of Advanced Intelligence Project (AIP) in Tokyo, working broadly on the interplay between graphs and machine learning. I have been a postdoctoral researcher at Cedric, CNAM, working with Raphaël Fournier-S’niehotta on social recommender systems; even before, I was a PhD student in the ComplexNetworks team at LIP6, under the supervision of Matthieu Latapy and Clémence Magnien. My thesis topic was about event detection in interaction streams. More precisely, my goal is to participate to the elaboration of a theoretical framework to describe streams of interactions, and to apply these mathematical tools to anomaly detection in IP traffic.

There are more details in my CV, and, of course, in my publications.