Computational Neuroscientist | PhD | Building production-ready ML pipelines for biotech and neuroscience
I apply machine learning and advanced signal processing to neural recordings — translating electrophysiology data into biological insight. My work spans seizure detection, spectral analysis, connectivity, cross-frequency coupling, signal complexity, and sleep staging.
Six end-to-end analysis pipelines applied to longitudinal dual-channel hippocampal CA3 + cortex EEG recordings from WT and C9orf72-KO mice across 3, 6, and 12 months.
| Repository | Analysis | Key methods |
|---|---|---|
| eeg-seizure-detection | Automated SAD detection + ML classifier | Adaptive thresholding, Random Forest, ROC-AUC 0.85 |
| eeg-spectral-analysis-c9orf72 | Longitudinal band power, CA3 + cortex | Welch PSD, Mann-Whitney U, heatmaps |
| eeg-connectivity-c9orf72 | Hippocampal-cortical connectivity | Coherence, PLV, Granger causality, transfer entropy |
| eeg-cross-frequency-coupling-c9orf72 | Phase-amplitude coupling | Modulation Index, comodulogram, cross-channel PAC |
| eeg-signal-complexity-c9orf72 | Signal complexity | SampEn, MSE, permutation entropy, LZC, Hjorth |
| eeg-sleep-wake-c9orf72 | Sleep-wake classification | Rule-based staging, state proportions, state-specific analysis |
Key finding: C9orf72-KO mice show a U-shaped elevation in theta band power (4–8 Hz) at 3 and 12 months with convergence at 6 months in both CA3 and cortex — consistent with progressive network dysfunction in ALS/FTD.
Languages: Python, MATLAB
ML/Data: scikit-learn, numpy, pandas, scipy, matplotlib
Neuroscience: pyabf, EEG analysis, electrophysiology, signal processing
Methods: Random Forest, PCA, clustering, time-frequency analysis, coherence, PAC, entropy
Tools: Git, GitHub, Jupyter, Anaconda, conda
- PhD in Neuroscience
- Expertise in in vivo electrophysiology (EEG, LFP, patch-clamp)
- Longitudinal mouse model studies (ALS/FTD, C9orf72)
- Dendritic spine morphology and synaptic analysis
- Translational neuroscience — from bench to computational insight