Mathias Humbert

Mathias Humbert, Ph.D. (EPFL, 2015)

I am a post-doctoral researcher in the Center for IT-Security, Privacy, and Accountability (CISPA), working in the group of Michael Backes (Saarland University, MPI-SWS). My research is funded by the ERC Synergy Grant imPACT. I completed my Ph.D. thesis in March 2015, under the supervision of Jean-Pierre Hubaux, in the School of Computer and Communication Sciences at EPFL (Switzerland). Prior to this, I did my B.Sc. and M.Sc. studies at EPFL and U.C. Berkeley.

My research interests lie at the intersection of privacy, machine learning, and bioinformatics. I am currently focusing on investigating privacy risks stemming from a wide range of biomedical data (from genomic to transcriptomic data). My research expertise includes (epi)genetic privacy, location privacy, inference and graphical models, and game theory.

In my Ph.D. thesis (available here), I have notably analyzed the variety of interdependencies in individuals' data, and their impact on privacy. I have shown the impossibility of protecting privacy individually and independently of others (stemming from the lack of control over correlated data), and the need for new definitions of privacy, in its social context, and as a common good.


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CISPA, Saarland University
Computer Science Department
Campus E9 1, Room 3.18
66123 Saarbrücken, Germany