My work focuses on translating advanced neuroimaging and cognitive neuroscience into real-world, scalable mental health and decision-support solutions.

Optical Neuroimaging Foundation Model

Objective:
Develop self-supervised and representation-learning models for optical neuroimaging data to enable scalable brain-state discovery across tasks, populations, and contexts.

Key Contributions:

Large-scale wearable fNIRS data aggregation

Masked and contrastive learning approaches for time-series neuroimaging

Phenotype-first modeling strategy for interpretability and clinical relevance

Impact:
Provides a foundation for cross-task generalization, individualized brain profiling, and downstream clinical applications.

fNIRS Wearable Platform for Precision Mental Health

Objective:
Build a low-cost, wearable functional neuroimaging system for objective assessment and monitoring of mental health in naturalistic environments.

Key Contributions:

Portable, wireless fNIRS hardware

Cloud-based signal processing and analytics

Integration with behavioral tasks and ecological momentary assessment (EMA)

Applications:
ADHD, stress-related disorders, PTSD, and treatment-response monitoring in real-world settings.

ADHD Deep Phenotyping

Objective:
Characterize neurobiological heterogeneity in ADHD using multimodal wearable neuroimaging and behavioral measures.

Key Contributions:

Task-based and naturalistic fNIRS paradigms

Neurophysiology-guided intervention targeting

Objective markers of executive function and treatment response

Impact:
Supports precision psychiatry approaches beyond symptom-based diagnosis.

Neurodiversity & Decision-Making Under Risk

Objective:
Investigate how neurodiverse populations process risk, loss aversion, and feedback frequency in financial and real-world decision-making contexts.

Approach:

Wearable neuroimaging during decision tasks

Integration with behavioral economics frameworks

Grounded in foundational work on loss aversion and feedback sensitivity

Relevance:
Bridges neuroscience, behavioral economics, and real-world decision support.

Clinical Neuroimaging in Vulnerable Populations

Populations Studied:

PTSD Adverse Childhood Experiences (ACE) Prader–Willi Syndrome (PWS)

Focus:

Objective neurophysiological markers Stress and emotion regulation Translational relevance for intervention and monitoring

Goal:
Enable ethical, scalable neuroimaging solutions for underserved and clinically complex populations.