About Me

I received my PhD from the Department of Philosophy, Logic and Scientific Method at the London School of Economics and  Political Science.  Before joining the PhD programme at the LSE, I obtained a an MSc in Philosophy of the Social Sciences from the London School of Economics and Political Science (2010) and a BA in Political Science from Vilnius University (2009). 

My research interests lie at the intersection of rational choice theory, statistics, and computer science. I am primarily interested in the question of how rational agents should learn from evidence and make decisions under uncertainty. 

Much of the optimism surrounding real-world applications of AI rests on inflated expectations of its current ability to draw reliable inferences and make sound decisions from real-world data. Bridging this gap requires AI systems that meet demanding epistemic and ethical standards—able to assess information reliability, make safe decisions, and coordinate effectively with humans. My research integrates philosophical analysis with formal and computational methods to develop the conceptual and mathematical foundations for AI systems that satisfy these requirements.