Applications:
Behavioral Science, Clinical Research, Human Subjects Trials and Intervention Studies, Learning Health Systems, Medical Imaging, Mental Health, Precision Medicine, Psychology
Methodologies:
Artificial Intelligence, Bayesian Methods, Causal Inference, Classification, Graph Theory and Graph-based Methods, High-Dimensional Data Analysis, Machine Learning, Network Analysis, Pattern Analysis and Classification, Predictive Modeling, Psychometrics, Real-time Data Processing, Signal Processing, Statistical Inference, Statistical Modeling, Time Series Analysis

Ivy F. Tso

Associate Professor of Psychiatry, Adjunct Associate Professor of Psychology

Psychiatry


Affiliation(s):

Psychology

My lab researches how the human brain processes social and affective information and how these processes are affected in psychiatric disorders, especially schizophrenia and bipolar disorder. We use behavioral, electrophysiological (EEG), neuroimaging (functional MRI), eye tracking, brain stimulation (TMS, tACS), and computational methods in our studies. One main focus of our work is building and validating computational models based on intensive, high-dimensional subject-level behavior and brain data to explain clinical phenomena, parse mechanisms, and predict patient outcome. The goal is to improve diagnostic and prognostic assessment, and to develop personalized treatments.

Brain activation (in parcellated map) during social and face processing.