Dr. Schultebraucks is an expert in computational psychiatry and PTSD, dedicated to advancing precision medicine through the creation of personalized, accurate, and reliable predictive models that improve clinical decision-making. Currently an Associate Professor in the Department of Psychiatry and Department of Population Health at the NYU Grossman School of Medicine, Dr. Schultebraucks also serves as Co-Director of the Computational Psychiatry Program. With interdisciplinary appointments in Biomedical Engineering at NYU Tandon School of Engineering and the Neuroscience Institute at NYU Grossman School, as well as an affiliation with the NYU Constance and Martin Silver Center on Data Science and Social Equity, Dr. Schultebraucks delivers groundbreaking research at the intersection of psychiatry, neuroscience, and digital health. 

Dr. Schultebraucks has published in prestigious journals such as Nature Medicine, Lancet Digital Health, and JAMA Psychiatry. Her work has received funding from renowned agencies including NIH, NSF, and DoD, and actively influences the fields of clinical prediction analytics, computational medicine, and digital phenotyping. A committed mentor and educator, Dr. Schultebraucks has supervised numerous PhD students and postdoctoral fellows worldwide, many of whom have secured faculty positions, prestigious scholarships, and advanced research funding. Recognized globally for their contributions, Dr. Schultebraucks has delivered interdisciplinary keynote and panel speeches, participated in policymaking forums such as the UN and NATO, and consulted with industry leaders like Google and Wellcome Trust.

Dr. Schultebraucks is passionate about creating transformative solutions that bridge the gap between digital innovation and practical applications in clinical settings, ensuring equitable access to personalized mental health care for diverse populations. Their vision is to lead advancements in computational psychiatry that redefine mental health care delivery on a global scale.