I build real-time systems and AI pipelines for neuroscience research.
Currently at University of Michigan → Carnegie Mellon (Computational Biology, SCS). Two years embedded in neuroscience labs working on closed-loop neural systems, fMRI infrastructure, and ML for neural decoding.
Real-Time Neural Systems Closed-loop VR for head-fixed rodents · sub-16ms feedback · <1ms timing jitter Hardware sync across electrophysiology, behavioral tracking, and stimulus delivery
Scientific Data Pipelines fMRI preprocessing at scale · 70% processing time reduction · CI/CD with DVC Reproducible neuroimaging workflows for cross-sectional and longitudinal cohorts
ML for Neural Data CNN brain-state decoder · 94% F1 on cortical surface activation maps SLEAP pose estimation · kinematic extraction across 100+ behavioral sessions
| Project | Description |
|---|---|
| RythMice | Open-source behavioral analysis toolkit for rodent locomotion studies |
| FMRI-image-ML-classifier | CNN decoder for cognitive state classification from fMRI cortical maps |
Python C# (Unity) PyTorch MATLAB Docker GitHub Actions DVC AWS
fMRI / SPM / CONN SLEAP Biopac LabJack Linux