I conduct my research at the intersection of artificial intelligence and healthcare at Mila and the Reasoning and Learning (RL) lab, McGill University. My supervisor is Prof. Doina Precup, co-director of RL lab and director of the DeepMind lab in Montreal. The overarching theme guiding my work is advancing machine learning to positively impact healthcare. Specific areas I work on include classical ML, deep learning, speech, physiological signal processing and tensor decomposition techniques. I hold a Vanier Canada Graduate Scholarship.
I founded and lead AI Research at Ubenwa. The Ubenwa project is aimed at developing cry-based, low-cost tools for early diagnosis of conditions that affect the central and autonomic nervous systems in newborns. Our work is funded by generous grants from Mila, Ministère de l’Économie et d’Innovation (MEI) du Québec, District 3 Innovation Centre, and MIT Solve.
- 7 Jan 2021: McGill University just published a story about Ubenwa - our beginnings and the work we are doing to save newborns at birth using AI.
- 29 Aug 2020: I am co-organising the Workshop on Machine Learning for Health at NeurIPS 2020. Our theme for this year is “Advancing Healthcare for All”.
- 05 July 2020: New blog post on applying for the Vanier doctoral scholarship.
- 15 June 2020: I am co-organising the Workshop on Machine Learning for Global Health at ICML 2020.