Biography

I am currently a post doctoral research at the TU Dresden. I am working on the computational basis of decision making in complex problems. Using computational modeling, reinforcement learning and insights from the Bayesian brain hypothesis, I investigate how we are able to solve complex tasks where exhaustive planning is not feasible.

Before that, my research focused on consciousness neuroscience, trying to unravel the neural mechanisms giving rise to conscious experience. I combined theory-driven approaches with neural and psychophysical experimental paradigms to investigate unexplored dimension of conscious experience and the associated neural activation.

In parallel, I have worked on statistical methods and developped toolboxes to investigate and simulate neural data to improve the sensitivity and the transparency of scientific practices. I am an open science advocate, and have developped protocols to ensure robustness of experimental testing setups.