I am a doctoral researcher at UCLouvain. I work in logic, language and information, focusing on building probabilistic semantics for concept networks, providing relevance criteria for dependency patterns in these semantics, and characterizing the related learning procedures implementable in machine learning. In my dissertation, entitled Hypothetical Reasoning. From Formal Learning Theory to Machine Learning, I use probabilistic logic and neural networks to define learning procedures for acquiring and testing conditional information. My approach is multidisciplinary, ranging from logic and theoretical computer science to probability theory, Bayesian networks and machine learning.
My other areas of expertise include legal, political and economic aspects of privacy and surveillance, as well as using new statistical methods to evaluate the development of civil society and the condition of modern democracies. I am particularly interested in methods used to diagnose the dynamics of civil society in Central and Eastern Europe and at the EU level.