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Ann Iturra-Mena is a neuroscientist working at the intersection of psychiatry and data science. Her research aims to develop mechanistically grounded biomarkers to improve the detection and treatment of anxiety and depression. She is an expert in electroencephalography (EEG) and has experience in clinical, preclinical, and cross-species research. Ann earned her PhD in Neuroscience from the University of Valparaíso, Chile, and completed her postdoctoral training at Harvard Medical School/McLean Hospital and the Data Science Institute at Columbia University. Her preclinical research has focused on identifying behavioral and neural markers of stress vulnerability and developing translational EEG markers for drug effects on cognitive control and reward learning. In the field of child psychiatry, she has developed multimodal predictive models to assess cognitive control deficits in anxiety and has examined predictors of treatment response to cognitive behavioral therapy (CBT). Ann received the 2024 Brain & Behavior Research Foundation Young Investigator Award to apply AI methods in the identification of voice-based markers of treatment response for anxious youth.
Columbia University • New York, NY
Conducting research at the Data Science Institute in collaboration with the Department of Psychiatry.
Department of Anthropology (GSAS)