Background
I'm a Montreal-based engineer working at the intersection of neuroscience and artificial intelligence. My academic path took me from studying the brain to building systems that try to replicate what it does.
At Dr. Jerbi's lab I built decoding pipelines for MEG data — extracting millisecond-resolution information about how the brain processes faces. That work shaped how I think about feature engineering, signal processing, and the translation of domain knowledge into ML pipelines.
At Artelys I applied that same empirical rigour to an industrial problem: predicting transformer degradation from engineering sensor data using XGBoost and SHAP-driven explainability.
I'm currently looking for ML engineering, applied research, or data science roles in Montréal. I work best in environments that take both the science and the craft seriously.