Applications:
Behavioral Science, Healthcare Research, Social Science
Methodologies:
Artificial Intelligence, Bayesian Methods, Causal Inference, Data Mining, Graph-Based Methods, Machine Learning, Mathematical and Statistical Modeling, Networks, Statistics

Ivy F. Tso

Associate Professor of Psychiatry, Adjunct Associate Professor of Psychology

Psychiatry

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.