Team - Computational Privacy Group, Imperial College London
Team members of Computational Privacy Group at Imperial College London.
Yves-Alexandre is an Assistant Professor at Imperial College London. He received his PhD from the MIT Media Lab and was a Postdoc at Harvard. He holds MScs in Applied Math from Louvain, Ecole Centrale Paris (Centralien), and KULeuven.
Luc received a PhD in applied mathematics from UCLouvain. Luc studies the limits of privacy and anonymity in the modern age, challening the technical and legal adequacy of current de-identification techniques.
Ana-Maria graduated from Ecole Polytechnique, France and holds an MSc in Computer Science from EPFL, Switzerland. Her research interests includes machine learning for re-identification.
Ali has a MSc in high energy physics jointly from the University of Southampton and CERN. His research focuses on quantifying the privacy of human behavioral datasets, as well as studying the impact of AI algorithmic decision making on society.
Andrea received his MSc in mathematical logic from the University of Turin. His research interests include differential privacy, determining vulnerabilities in data-release systems, and designing privacy-preserving mechanisms.
Florimond received his MSc in applied mathematics from UCLouvain. His research interests include obfuscation and privacy risks in Web search data
Shubham received his BTech in Computer Science and Engineering from IIT Bombay. His research interests include fairness in machine learning systems, scalable privacy-preserving systems, and network security.
Arnaud has masters in mathematics from Paris VI, Paris XI and from Ecole Centrale Paris. His research interests include biometrics and profiling.
Visiting PhD student
Stefano is a Ph.D. fellow at the University of Naples Federico II and a visiting fellow in the Computational Privacy Group. His research interests include pattern recognition, adversarial learning and embedded systems.
Axel has masters in computer science from Imperial College London and ENSEEIHT (France). He worked for Societé Generale CIB. Axel leads the development of the OPAL project and is interested in privacy-preserving architectures.
Thibaut received his PhD in computational statistics from Oxford. Thibaut's research interests include the application of machine learning techniques on behavioral datasets for identification learning as well as adversarial machine learning.