Summary
Maurice Jaoude is a senior research scientist specializing in AI and ML with nine years of experience applying deep learning to biosignals, particularly EEG, for sleep and epilepsy applications. Based in Toronto, he leads foundation-model and self-supervised learning efforts at Muse to advance wearable EEG sleep staging, daytime analytics, and LLM-driven EEG conversational tools. His background bridges academic and clinical research at Harvard Medical School/Mass General—where he authored multiple first-author papers—and product-focused engineering, having built real-time expert-level sleep staging algorithms for consumer wearables. Maurice combines strong signal-processing roots (ECG, fNIRS, PPG) with practical deployment experience and a track record of industry–academic collaboration, making him adept at turning novel neuroscience methods into validated, real-world AI products.
9 years of coding experience
1 year of employment as a software developer
Master of Science (MSc), Bioengineering, 5.65/6.00, Master of Science (MSc), Bioengineering, 5.65/6.00 at Ecole polytechnique fédérale de Lausanne
Bachelor of Engineering (B.E.), Electrical and Computer Engineering, 3.91/4.00, Bachelor of Engineering (B.E.), Electrical and Computer Engineering, 3.91/4.00 at American University of Beirut
High School Diploma, High School Diploma at College des Frères Maristes Champville
English, French, Arabic, Italian