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 |
Fellow |
|---|---|---|
|
University of Washington |
Resident | |
| Professional Medical |
University of California, San Francisco School of Medicine |
MD |
|
Northwestern University |
MBA | |
| Diploma |
Oxford University |
Postgraduate Diploma |
|
Oxford University |
BA, MA |
Selected Publications
Journal Article
- de Lacy N, Ramshaw MJ (2023). Selectively predicting the onset of ADHD, oppositional defiant disorder, and conduct disorder in early adolescence with high accuracy. Front Psychiatry, 14, 1280326. (Read full article)
- de Lacy N, Ramshaw MJ, McCauley E, Kerr KF, Kaufman J, Nathan Kutz J (2023). Predicting individual cases of major adolescent psychiatric conditions with artificial intelligence. Transl Psychiatry, 13(1), 314. (Read full article)
- de Lacy N, Ramshaw MJ, Kutz JN (2022). Integrated Evolutionary Learning: An Artificial Intelligence Approach to Joint Learning of Features and Hyperparameters for Optimized, Explainable Machine Learning. Front Artif Intell, 5, 832530. (Read full article)
- de Lacy N (2021). Sex/gender differences in the neural substrate of long-term memory. Cogn Neurosci, 12, 1-2. (Read full article)
- de Lacy N, Kutz JN, Calhoun VD (2020). Sex-related differences in brain dynamism at rest as neural correlates of positive and negative valence system constructs. Cogn Neurosci, 12, 1-24. (Read full article)
- de Lacy N, McCauley E, Kutz JN, Calhoun VD (2019). Sex-related differences in intrinsic brain dynamism and their neurocognitive correlates. Neuroimage, 202, 116116. (Read full article)
- Fu Z, Tu Y, Di X, Du Y, Sui J, Biswal BB, Zhang Z, de Lacy N, Calhoun VD (2018). Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism. Neuroimage, 190, 191-204. (Read full article)
- de Lacy N, McCauley E, Kutz JN, Calhoun VD (2019). Multilevel Mapping of Sexual Dimorphism in Intrinsic Functional Brain Networks. Front Neurosci, 13, 332. (Read full article)
- Mac Donald CL, Barber J, Wright J, Coppel D, De Lacy N, Ottinger S, Peck S, Panks C, Sun S, Zalewski K, Temkin N (2018). Longitudinal Clinical and Neuroimaging Evaluation of Symptomatic Concussion in 10- to 14-year-old Youth Athletes. J Neurotrauma, 36(2), 264-274. (Read full article)
- de Lacy N, Calhoun VD (2018). Dynamic connectivity and the effects of maturation in youth with attention deficit hyperactivity disorder. Netw Neurosci, 3(1), 195-216. (Read full article)
- Mac Donald CL, Barber J, Wright J, Coppel D, De Lacy N, Ottinger S, Peck S, Panks C, Zalewski K, Sun S, Temkin N (2018). Quantitative Volumetric Imaging and Clinical Outcome Characterization of Symptomatic Concussion in 10- to 14-Year-Old Adolescent Athletes. J Head Trauma Rehabil, 33(6), E1-E10. (Read full article)
- Herzig L, de Lacy N, Capone G, Radesky J (2018). Intellectual Disability and Psychotropic Medications. J Dev Behav Pediatr, 39(7), 591-593. (Read full article)
- de Lacy N, Kodish I, Rachakonda S, Calhoun VD (2018). Novel in silico multivariate mapping of intrinsic and anticorrelated connectivity to neurocognitive functional maps supports the maturational hypothesis of ADHD. Hum Brain Mapp, 39(8), 3449-3467. (Read full article)
- Calhoun VD, de Lacy N (2017). Ten Key Observations on the Analysis of Resting-state Functional MR Imaging Data Using Independent Component Analysis. Neuroimaging Clin N Am, 27(4), 561-579. (Read full article)
- de Lacy N, Doherty D, King BH, Rachakonda S, Calhoun VD (2017). Disruption to control network function correlates with altered dynamic connectivity in the wider autism spectrum. Neuroimage Clin, 15, 513-524. (Read full article)
- Bachmann-Gagescu R, Dempsey JC, Phelps IG, ORoak BJ, Knutzen DM, Rue TC, Ishak GE, Isabella CR, Gorden N, Adkins J, Boyle EA, de Lacy N, ODay D, Alswaid A, Ramadevi A R, Lingappa L, Loureno C, Martorell L, Garcia-Cazorla, Ozyrek H, Halilolu G, Tuysuz B, Topu M, University of Washington Center for Mendelian Genomics, Chance P, Parisi MA, Glass IA, Shendure J, Doherty D (2015). Joubert syndrome: a model for untangling recessive disorders with extreme genetic heterogeneity. J Med Genet, 52(8), 514-22. (Read full article)
- King BH, de Lacy N, Siegel M (2013). Psychiatric assessment of severe presentations in autism spectrum disorders and intellectual disability. Child Adolesc Psychiatr Clin N Am, 23(1), 1-14. (Read full article)
- de Lacy N, King BH (2013). Revisiting the relationship between autism and schizophrenia: toward an integrated neurobiology. Annu Rev Clin Psychol, 9, 555-87. (Read full article)
Letter
- Kaufman J, Kobak K, Birmaher B, de Lacy N (2020). KSADS-COMP Perspectives on Child Psychiatric Diagnostic Assessment and Treatment Planning. [Letter to the editor]. J Am Acad Child Adolesc Psychiatry, 60(5), 540-542. (Read full article)