Research Ecosystem
Research Threads
Research threads organize the work around recurring scientific questions. Each thread links papers, software systems, talks, and research areas so visitors can see how individual outputs fit into a larger translational data science program.
Computational Phenotyping
Unsupervised learning, cognitive profiles, and interpretable models for heterogeneous brain health data.
How can high-dimensional cognitive and clinical data reveal meaningful subgroups rather than average effects?Biomarker Systems
Computational pipelines for linking multi-omics, neuroimaging, inflammation, and cognition.
Which biological signals help explain cognitive decline, mental health changes, and brain health trajectories?Scientific Software & Infrastructure
Open-source tools, reporting frameworks, dashboards, and analysis interfaces that make science reproducible.
How can methods become shared infrastructure rather than one-off analysis code?Long COVID & Brain Health
Cognitive outcomes, biomarker signals, and clinical data streams for understanding post-acute brain health.
How do vascular, inflammatory, behavioral, and cognitive measurements fit together in Long COVID?Organoid Intelligence
Field-building work around organoid intelligence, neural systems, and responsible scientific infrastructure.
What shared technical and ethical infrastructure is needed for a new brain-inspired research field?Sleep, Wearables & Digital Phenotyping
Actigraphy, polysomnography, wearable streams, tablet-based testing, and self-report data as brain health signals.
How can digital and behavioral data streams help identify modifiable determinants of neurocognition?Cellular Systems & Axonal Injury
The cellular neuroscience and biomedical engineering foundation behind later translational data science systems.
How did engineering approaches to axonal injury, extracellular vesicles, and neural network activity shape the later software-first brain health program?