Dr. Teddy Akiki is Assistant Professor of Psychiatry and Behavioral Sciences at Stanford University. He is Associate Director of Computational Neuroscience at the Center for Precision Mental Health and a member of Stanford Medicine's artificial intelligence faculty cluster.

Dr. Akiki is Co-Director of the Stanford Precision Psychiatry Clinic, where he uses neuroimaging of brain circuit function to inform treatment decisions. He specializes in treatment-resistant depression, anxiety disorders, and posttraumatic stress disorder.

Dr. Akiki uses machine learning and multimodal neuroimaging to develop neurobiologically grounded approaches to psychiatric assessment and treatment. His program builds foundation models for neuroimaging and applies connectomics to characterize the neural circuits underlying depression and stress-related disorders. He leads clinical trials of novel and repurposed treatments that target specific brain circuits, with the goal of validating circuit-guided treatment selection.

Dr. Akiki's research applies artificial intelligence to neuroimaging to improve psychiatric assessment and treatment selection, with a focus on depression, anxiety, and stress-related disorders. His program develops foundation models for functional MRI, pretrained on large neuroimaging datasets and adapted to predict treatment response and symptom trajectories in clinical populations. He also uses multimodal connectomics, combining structural, functional, and diffusion MRI, to characterize the circuit dysfunction underlying these disorders. His translational work centers on clinical trials of novel and repurposed treatments that target specific brain circuits, with neuroimaging used to measure circuit-level treatment effects and identify predictors of response. In parallel, he develops clinical decision support tools that translate an individual patient's neuroimaging into brain-based markers that clinicians can use in treatment planning.