Pediatric Computational Neuroscience Research
Welcome to the Bernardo Lab. Our lab focuses on computational neuroscience, employing computational modeling, neural simulations, and AI/ML to understand pediatric brain dynamics, language, and epilepsy. 👶🧠
Research Interests
🌀 Developmental neural dynamics and simulations
⚡ Neonatal Seizure forecasting
🗣️ Language decoding, both neurotypical and neurodivergent
🔍 Find out more under Projects
Recent Papers
Kim J, et al. Limitations of Large Language Models in Clinical Problem-Solving Arising from Inflexible Reasoning. Scientific Reports. Nov 2025.
Kim J et al. EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation. IEEE Neural Engineering and Rehabilitation. In press. Nov 2025.
Kim J, et al. Short-horizon neonatal seizure prediction using EEG-based deep learning. PLOS Digital Health. Oct 2025.
Bernardo D, et al. Machine learning for forecasting initial seizure onset in neonatal hypoxic–ischemic encephalopathy. Epilepsia 2025
Bernardo D, et al. Simulation-based inference of developmental EEG maturation with the spectral graph model. Communications Physics 2024.
🔍 Find out more under Publications
Resources and Tools
Check out the Bernardo Lab github repo for code and documentation used in our research projects. 🛠️
Contact
For further inquiries, contact blabucsf \[at] gmail \[dot] com. 📧