Projects & Research Programs
Production software systems, open science infrastructure, and computational neuroscience studies
Brainlife Error Monitoring & Diagnostics Dashboard
Observability platform improving failure visibility across distributed HPC neuroimaging pipelines
Centralized observability dashboard aggregating failure logs, stack traces, and automated error classification across thousands of distributed containerized jobs on Brainlife.io.
Brainlife Mobile Companion Application
Real-time mobile status tracking and push alerts for long-running compute jobs
Cross-platform mobile application giving neuroscientists real-time visibility into multi-day pipeline execution status, error logs, and immediate completion alerts.
ABDN Fellowship Evaluation Platform
Digitized admissions and multi-reviewer scoring workflows for pan-African programs
Full-stack evaluation platform supporting structured multi-reviewer assessment, reviewer assignment matrices, and score normalization for 1,000+ candidates across 50 countries.
Lighthouse Digital Health Platform
Therapist discovery and appointment scheduling workflow system
Modern web platform connecting patients with certified mental health professionals through directory search, scheduling workflows, and administrative dashboards.
GLM vs. Deep Learning Behavior in Small-Sample Task-Based fMRI of Cognitive Control
A Controlled Methodological Study of Predictive Generalization, Overfitting Dynamics, and Spatial Representation Alignment
Investigating model behavior under small-sample, high-dimensional fMRI conditions (NYU Slow Flanker task, N=26) to compare classical General Linear Models (GLM) and deep learning architectures across cross-subject generalization, statistical stability, and spatial correspondence (Pearson r / Dice).
DeepAccess-MRI: AI-Assisted MRI Protocol Optimization via Missing Sequence Reconstruction
Clinically Validated Transfer Learning & Missing Sequence Synthesis for Shorter, Affordable Neuroimaging Protocols in Nigeria
Developing and clinically validating a transfer-learning framework that synthesizes missing structural MRI sequences (e.g. T1 -> FLAIR/T2) from heterogeneous Nigerian clinical scans, enabling shorter, non-inferior acquisition protocols without compromising diagnostic confidence.
Quantifying Clinical MRI Quality Effects on Deep Learning Performance
Treating Real-World Image Quality Degradation as a Continuous Independent Variable to Define AI Safety Boundaries
Systematically quantifying how continuous objective Image Quality Metrics (SNR, CNR, blur, sharpness, edge strength) affect diagnostic accuracy, calibration error (ECE), and Grad-CAM saliency drift across 225 clinical scans.
African Clinical Brain MRI Benchmark (Afri-Brain-Bench)
A Standardized Benchmark Ecosystem for Evaluating AI Generalization, Calibration, and Explainability on African Clinical Scans
Introducing Afri-Brain-Bench—a standardized multi-center benchmark dataset of 225 clinical MRI examinations across 3 Nigerian hospitals providing 7 standardized evaluation tasks, cross-hospital splits, ECE calibration scoring, and Grad-CAM spatial ROI auditing.
Explainability & Clinical Plausibility of Deep Learning on Low-Field African Brain MRI
Evaluating Anatomical Attention vs. Shortcut Learning across Low-Field Scanners with Neuroradiology Expert Auditing
Evaluating whether deep learning models trained on heterogeneous low-field African clinical MRI base decisions on medically plausible neuroanatomy or spurious imaging shortcuts using a 5-point neuroradiologist rating rubric and quantitative anatomical IoU.
Data-Centric AI: Evaluating MRI Preprocessing on Low-Field African Brain MRI
A Multi-Center Factorial Study of Preprocessing Impact on Model Robustness, Calibration, and Explainability
Evaluating whether optimizing preprocessing quality via factorial experimental design (Pipelines A–G) yields greater classification accuracy, calibration, and cross-hospital generalization than increasing model complexity on 225 low-field African brain MRI scans.
African Brain MRI AI Research Ecosystem
A Multi-Project Research Program for Robust, Explainable & Clinically Validated AI in African Neuroimaging
Documents the architecture, dependency matrix, and 7-phase roadmap of a comprehensive research ecosystem designed to bridge the gap between idealized research MRI and real-world low-resource African clinical environments.
Beyond Research-Grade MRI: AI Robustness on Nigerian Clinical Scans
A Methodological Study of Model Calibration, Robustness, and Explainability under Real-World MRI Quality Constraints
Systematically characterizing AI model robustness, calibration error, and explainability maps across progressive real-world MRI degradations using a Nigerian clinical brain dataset.
Brainlife.io Workflow Observability & Diagnostic Engine
Automated Pipeline Diagnostic & Performance Observability Platform for Distributed Scientific Workflows
Building observability tools that monitor, diagnose, and auto-triage HPC neuroimaging pipeline errors across thousands of distributed compute executions on Brainlife.io.
African Brain Data Network (ABDN) Platform
FAIR Data Management, Capacity Building & Participant Evaluation Platform for African Neuroscience
A digital research platform enabling neuroscientists across 50+ African institutions to collaborate, share FAIR datasets, and manage computational workshops.