About Our Clinical Research

Our clinical research advances data-driven neurodiagnostics and precision medicine for neurological and psychiatric disorders. By integrating advanced EEG signal processing, computational modeling, and data integration frameworks, we aim to transform early detection, monitoring, and treatment strategies for neurodevelopmental conditions throughout the lifespan.

Key Research Areas:

Autism Spectrum Disorder

Our research in autism focuses on developing machine learning and nonlinear EEG analytics to identify atypical neurodevelopmental patterns in infants and toddlers, enabling earlier diagnosis and intervention. We also address the practical challenges of implementing scalable neurodevelopmental screening tools for broad clinical access.

Epilepsy Monitoring and Seizure Prediction

We investigate EEG-based biomarkers to characterize absence epilepsy and explore predictive models for seizure recurrence, emphasizing rigorous validation to avoid overinterpretation. Our work also includes real-time EEG analytics for monitoring antiepileptic drug efficacy and assessing sleep-related changes in epileptogenicity, advancing personalized epilepsy care.

Childhood Anxiety and Depression

Our work introduces frameworks for discovering EEG-based biomarkers of anxiety in early childhood and applies dynamical systems theory to precision psychiatry. This approach leverages complexity science to personalize mental health interventions, moving toward individualized care models.