Research
Research Themes
Our lab bridges neuroscience, computation, and clinical application to understand the brain and translate insights into mental health tools.
Neuroimaging in Psychiatric Disorders
Investigating neural correlates of psychiatric disorders using structural and functional MRI
This project aims to understand the neural mechanisms underlying psychiatric disorders through advanced neuroimaging techniques, combining structural and functional data for comprehensive brain mapping.
Current Studies
- βCortical thickness patterns in major depressive disorder
- βDefault mode network connectivity in anxiety disorders
- βBrain structural changes in early-stage schizophrenia
Methods
Computational Modeling of Cognition
Developing mathematical and computational models to understand cognitive processes and decision-making
This project develops computational models to understand how the brain supports cognition and how these processes are disrupted in psychiatric disorders.
Current Studies
- βComputational phenotyping of depression using RL models
- βBayesian inference deficits in schizophrenia
- βCognitive control mechanisms in anxiety disorders
Methods
AI-Powered Clinical Tools
Developing artificial intelligence tools for diagnosis, prognosis, and treatment planning in psychiatry
This project develops AI-powered tools to enhance clinical decision-making and improve patient outcomes in psychiatric care, bridging the gap between neuroscience research and clinical practice.
Current Studies
- βDeep learning for depression detection from speech and facial expressions
- βPredictive modeling of antidepressant response
- βAI-assisted risk assessment for suicide prevention
Methods
Naturalistic Behavior Analysis
Understanding human behavior in real-world settings using wearable sensors and video analysis
This project explores human behavior in naturalistic environments, moving beyond laboratory settings to capture real-world behavioral patterns and their relationship to mental health.
Current Studies
- βSensor-based detection of depressive episodes
- βVideo analysis of social withdrawal in anxiety disorders
- βDigital phenotyping of cognitive decline
Methods
Integrative Approach
Our research integrates neuroimaging, computational modeling, and machine learning to build a comprehensive understanding of the brain in health and disease. By combining large-scale data with rigorous analytical methods, we aim to translate basic science into clinical tools for mental health.