I have a broad interest in investigating various aspects of human decision-making, and I mainly use computational models and empirical testing with behavior and psychophysiological data. My current projects aim to understand valuation and action selection in decision-making in different scenarios, including:
I first discovered my interests in neuroscience and cognitive science when I applied for Master’s programs. My first project in this field was at Prof. Klaas Enno Stephan’s Lab, where I developed cardiac-field artifact correction methods for EEG data.
Gradually, I found myself most interested in applying computational modeling to understand human cognition. For my Master’s thesis, I conducted research at Prof. Dominik Bach’s lab building cognitive-computational models of decision making in an approach-avoidance task. After that, I worked on a project at Prof. Karl Friston’s Lab developing active-inference models for speech-in-noise perception to investigate the mechanisms of preparatory attention development.
I was mainly interested in building “genetically engineered machines”. I took part in iGEM competition several times with different roles.