Eric Lin, MD

Research Fellow

Research Fellow

Eric received both his BS in Psychobiology and MD from UCLA. His psychiatry residency and research training were respectively at Yale University School of Medicine and Yale’s Neuroscience Research Training Program. His work has been in applied machine learning with a focus on applying natural language processing to patient interviews for diagnostic support, clinical risk stratification, and identifying predictors in the hopes of improving clinical nosology for personality disorders. Currently, he is on the Deep Phenotyping in Borderline Personality Disorder study. Eric is in VA Boston’s Medical Informatics Fellowship; he splits his time between this lab and the VA’s machine learning group at MAVERIC. 

Recent Publications:

Lin, E., Liebenthal, E., Fairbank-Haynes, K., Shogren, N., Aguirre, B., & Baker, J. (2021). Towards Phenotyping Treatment Response in Borderline Personality Disorder: Quantitative Language Analysis of Clinical Interviews. Biological Psychiatry, 89(9), S314. https://doi.org/10.1016/j.biopsych.2021.02.783