Brett Beaulieu-Jones

Dr. Beaulieu-Jones’ research is focused in two primary areas: 1. Using machine learning to precisely define phenotypes from large-scale biomedical data repositories, (e.g., those contained in clinical records), with particular interest in heterogenous neurological conditions (e.g., Parkinson’s disease and epilepsy), and 2. Understanding the relationship between technology and healthcare delivery including the deployment of machine learning and informatics tools and extracting robust insights from real-world biomedical data (i.e., understanding the utility of real-world data in the context of comparative effectiveness studies).

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