Ravnoor Singh Gill

Machine Learning Intern

Algorithm development for arrhythmia detection in a wearable single-lead ECG monitoring solution

• Developed algorithms for supervised beat classification and unsupervised anomaly detection based on public and private datasets
• Integrated and curated heterogeneous sources of public and private cardiac electrophysiology datasets
• Modernized data storage by improving storage, archival and performance efficiencies by migrating to HDF5 from plaintext format, while also mitigating problems with larger than memory datasets and enabling efficient metadata access and query

Research Assistant

Multi-contrast MR imaging analysis using machine learning for clinical decision support in MRI-negative epilepsy

• Implemented an end-to-end deep learning pipeline for lesion detection in focal cortical dysplasia
• Implemented multi-task hippocampal subfield segmentation and focus lateralization in temporal lobe epilepsy

Research Assistant

Characterized disruptions of functional connectivity in experimental models of epilepsy using EEG and rsfMRI