Mathias Humbert

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

I am a senior data scientist at the newly created Swiss Data Science Center (SDSC), a joint venture between EPFL and ETH Zurich. Prior to that, I was a post-doctoral researcher in the Center for IT-Security, Privacy, and Accountability (CISPA), working in the group of Michael Backes (Saarland University). I completed my Ph.D. thesis in 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 data privacy and machine learning. 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 biomedical data privacy, location privacy, probabilistic inference and graphical models.

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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Swiss Data Science Center
INN 314
EPFL
1015 Lausanne, Switzerland