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

She is interested in working on artificial intelligence and data analysis from a sociotechnical perspective. Her main project (CHAI, ANR funded) aims at charting the social world of AI, and studies how norms and definitions circulate among actors, institutions and across heterogeneous arenas (scientific, press, regulation, NGOs). It examines the levers of influence and power in this space, and aims at materialising AI issues, through its environmental cost, human cost, and impact on civic discourse.

Before, she was a posdoctoral researcher at LIPN, where she focused on pattern mining on graphs; She has 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. She has been a postdoctoral researcher at Cedric, CNAM, working with Raphaël Fournier-S’niehotta on social recommender systems; even before, she was a PhD student in the ComplexNetworks team at LIP6, under the supervision of Matthieu Latapy and Clémence Magnien. Her thesis topic was about event detection in interaction streams. More precisely, her 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.