ThriveMind

Research

Research that challenges myths and drives change.

My research is driven by curiosity and lived experience — examining ADHD through network neuroscience while confronting the misinformation and stigma that still hold communities back. Scientific inquiry fuels understanding, reduces stigma, and creates solutions that improve lives.

3active studies
fMRIbrain-network data
MLpredictive modeling
Glasses resting on an open book
“The important thing is not to stop questioning. Curiosity has its own reason for existing.”
Albert Einstein

Current Research

Three studies, one question: how do ADHD brain networks work?

Network mapping
In progress

Investigating ADHD Through Network Neuroscience: Subtypes, Prediction, and Network Resilience

Using graph-theory analysis of resting-state fMRI, this study maps how ADHD brain networks are organized, searches for data-driven subtypes, and tests how well those networks hold up when connections are disrupted.

Network NeuroscienceGraph TheoryResting-state fMRI
Prediction
In progress

Predicting ADHD Symptom Severity from Functional Brain Connectivity Using Machine Learning

This project trains machine-learning models on functional-connectivity patterns to estimate individual symptom severity — a step toward objective, brain-based markers that could make assessment earlier and fairer.

Machine LearningFunctional ConnectivityPrediction
Resilience
In progress

Investigating Brain-Network Resilience and Failure Dynamics in ADHD

By simulating targeted and random disruptions to brain networks, this study examines how connectivity degrades and recovers — revealing the vulnerability and resilience patterns that characterize ADHD.

Network ResilienceFailure DynamicsSimulation

From the lab to lived experience

Research only matters when it reaches people. Hear these ideas in plain language on the ThriveMind Awareness Podcast.

Explore the podcast