Methods include statistical analysis, Bayesian inference, neural mass modeling, machine learning, deep learning, EEG/MRI/ECG analysis, retrieval-augmented generation, and citation-grounded evaluation.
A focused research profile centered on computational neuroscience, statistical analysis, Bayesian methods, generative brain modeling, healthcare AI, neurosymbolic methods, and trustworthy language systems.
Methods include statistical analysis, Bayesian inference, neural mass modeling, machine learning, deep learning, EEG/MRI/ECG analysis, retrieval-augmented generation, and citation-grounded evaluation.
My neuroscience work focuses on model-driven and generative models of brain activity, including Jansen-Rit and related neural mass models for inversion, effective connectivity, uncertainty-aware analysis, and neurobiological interpretation.