PPMI (Parkinson’s Progression Markers Initiative)
Primary longitudinal cohort with clinical, imaging, biospecimen, and genetic data. Requires data use agreement via Michael J. Fox Foundation.
Resources & Collaboration
Access the datasets, documentation, and engagement channels that power our progressive AI program. We emphasize responsible data stewardship and transparent sharing.
Core datasets
synapse.org Parkinson’s repositories
Wearable, smartphone, handwriting, and voice datasets curated for open challenges and benchmarking.
Mindboggle-101
Anatomically labeled T1-weighted MRIs used for SegFormer pretraining and validation.
Lab documentation
Explore protocol drafts, segmentation benchmarks, and reproducible notebooks on our background page and HackMD workspace. Highlights include:
Open-source roadmap
SegFormer deployment scripts
Containerized pipelines for MRI preprocessing, segmentation, DaT-SPECT alignment, and SBR extraction. Repository release planned December 2025.
Progressive agent notebooks
Reference implementations of stochastic Hamiltonian policy optimization and uncertainty calibration on synthetic cohorts, packaged with the upcoming technical note.
ActionIntel & Free Motion demos
Interactive Dash applications highlighting sensor-clinical correlations, counterfactual therapy simulations, and visualization of asymmetric gait patterns.
Engage with us
Connect with Professor Bajaj
Share potential collaborations or student opportunities directly with our principal investigator.
Oden Institute contact portal
For media inquiries, philanthropy, or institutional partnerships, please contact the Oden Institute communications team.
Texas Advanced Computing Center
External partners can apply for compute allocations that align with our GPU-intensive workloads.
Responsible data stewardship
All collaborations comply with HIPAA, GDPR, and sponsor-specific requirements. We utilize secure UT Austin data enclaves, audited access logs, and federated learning when raw data sharing is constrained.