Bayesian Modeling & Prediction Error
I investigate how the brain encodes surprise and updates beliefs across sensory systems, combining Bayesian modeling, EEG/fMRI, and predictive-processing frameworks.
Hello, I'm
I combine neuroscience, neuroimaging, and data science to study how the brain predicts sensory input and forms, maintains, and updates representations of the world.
I'm a computational neuroscientist working at the intersection of cognitive neuroscience, predictive processing, brain stimulation, and data science. My research combines EEG, fMRI, multivariate decoding, computational modeling, and experimental design to investigate how the brain represents information, detects surprise, and adapts behavior.
I focus on translating complex neural signals into interpretable models and reproducible pipelines that connect brain dynamics with cognition.
I investigate how the brain encodes surprise and updates beliefs across sensory systems, combining Bayesian modeling, EEG/fMRI, and predictive-processing frameworks.
I study how non-invasive brain stimulation interacts with neural activity and cognitive performance, especially in working-memory and concurrent tDCS-fMRI contexts.
I use multivariate decoding to link parietal fMRI activity patterns with tactile working-memory content and behavioral performance.
I'm open to collaborations in neuroscience, neuroimaging, and data science. The easiest way to reach me is through my academic and code profiles.