Dr. Brett Beaulieu-Jones received his Ph.D. from the Perelman School of Medicine at the University of Pennsylvania under the supervision of Dr. Jason Moore and Dr. Casey Greene. Beaulieu-Jones’ doctoral research focused on using machine learning-based methods to more precisely define phenotypes from large-scale biomedical data repositories, for example, those contained in clinical records. He is currently an Instructor in the Department of Biomedical Informatics at Harvard Medical School mentored by Dr. Isaac Kohane and a Research Fellow of Neurology at Brigham & Women’s Hospital, mentored by Dr. Clemens Scherzer. His current work expands upon this to include large-scale data integration (genomic, therapeutic, imaging) to both better understand neurological disease etiology. By taking a phenotypic first approach he aims to identify homogenous subpopulations within Parkinson’s disease to identify associated biomarkers more effectively.

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