I'm a Toronto-based applied machine learning scientist focused on predictive modeling, statistical analysis, and developing reproducible ML pipelines. My background is in computational neuroscience, with particular expertise in EEG and biomedical signals.

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At State++, I develop and evaluate machine learning models and research pipelines, working across deep learning, feature engineering, model optimization, and validation.​​