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Nina de Lacy, M.B.A., M.D.

Languages spoken: English

Academic Information

Departments: Psychiatry - Assistant Professor

Divisions: Child Psychiatry

Academic Office Information

Board Certification

  • American Board of Psychiatry & Neurology (Psychiatry)

Nina de Lacy, MD, MBA, Assistant Professor, conducts research at the interface of computational science, artificial intelligence and population mental health. Her laboratory develops innovative computational approaches with the goal of advancing our understanding of risk trajectories, outcomes and mechanisms in mental health across the cognitive spectrum, enabling more impactful and efficient prevention and intervention. This effort incorporates her neuroscientific work developing innovative mathematical models of brain function and its relationship with psychiatric illness. Dr. de Lacy uses artificial intelligence and machine learning approaches well-suited to problems such as individual prediction, precision psychiatry, patient subgrouping, longitudinal cohort follow-up, analysis of inter-individual variation and biomarker identification. She also conducts research focused on sex/gender differences in brain function and their potential association with psychiatric symptoms. Dr. de Lacy earned her medical degree at UCSF and completed her Adult Psychiatry Residency (Neuroscience Track) and her Fellowship in Child and Adolescent Psychiatry at the University of Washington.

Education History

Fellowship University of Washington
Child & Adolescent Psychiatry
Residency University of Washington
General Psychiatry, Neuroscience Track
Professional Medical University of California, San Francisco School of Medicine
Graduate Training Northwestern University
Diploma Oxford University
History of Art
Postgraduate Diploma
Undergraduate Oxford University
English Language & Literature