معرفی
Jaime Ide is an Associate Research Scientist in Psychiatry at Yale University, working with Prof. Chiang-shan Ray Li. His research focuses on addiction, cognitive control, and machine learning applications in neuroimaging. He holds a PhD in Mechatronics/Artificial Intelligence from the University of São Paulo, with postdoctoral training at the University of Pennsylvania and Yale. Ide’s work bridges computational neuroscience and clinical research, investigating neurobiological mechanisms of mental health disorders through advanced neuroimaging techniques and AI-driven methodologies.
Key research areas include polygenic risk assessment for depression, ADHD neurobiology, and reinforcement learning algorithms for autonomous systems. His studies utilize fMRI, structural MRI, and machine learning to explore functional connectivity, gray matter volume correlations, and predictive modeling in psychiatric conditions. Collaborations with institutions like Stony Brook University and Federal University of São Paulo highlight his interdisciplinary approach.
Ide has contributed over 40 peer-reviewed publications, with recent work emphasizing Bayesian networks, functional connectivity analysis, and UAV control systems. His clinical trial involvement as a Sub Investigator (Thalamus and Hypothalamus in Cocaine Dependence) underscores translational research goals. Despite no listed awards, his extensive grant-funded projects and mentorship in multidisciplinary teams reflect professional recognition.