Dr. Xiaofu He is an Assistant Professor of Clinical Neurobiology in the Department of Psychiatry at Columbia University Irving Medical Center (CUIMC) and the New York State Psychiatric Institute (NYSPI). To advance mental health research, he applies his interdisciplinary background in computer science, machine learning, multimodal neuroimaging, and neurobiology. His research centers on creating and utilizing diverse brain imaging techniques and AI/Deep Learning approaches to support improved psychiatric disorder diagnostics and treatment. His research encompasses four major areas: 1) Advancing Diffusion Tensor Imaging (DTI) preprocessing and automated quality control methods; 2) Identifying brain biomarkers using neuroimaging for mental disorders; 3) Developing AI/deep learning approaches for psychiatric diagnosis and personalized interventions; and 4) Investigating real-time fMRI and EEG neurofeedback as psychiatric treatment methods. All of his research is focused on improving psychiatric outcomes. Besides his research, he also teaches a course titled ‘Applied Machine Learning for Computer Vision’ for both Statistics and DSI master’s students.