Center Affiliated Investigators
This page includes investigators who are affliated with NYU Silver's Constance and Martin Silver Center on Data Science and Social Equity (C+M Silver Center).
Bennett Allen
Assistant Professor, Department of Population Health and the Center for Opioid Epidemiology and Policy, NYU Grossman School of Medicine
Bennett Allen, PhD, MPA, is an Assistant Professor of Epidemiology in the Department of Population Health at the NYU Grossman School of Medicine, where he is affiliated with the Center for Opioid Epidemiology and Policy. His research evaluates programs and policies in substance use, overdose prevention, and behavioral health using epidemiological and machine learning methods. Additional work considers various facets of public health practice using qualitative methods and bioethical frameworks.
Dr. Allen’s current projects of note include a longitudinal evaluation of the New York City overdose prevention centers, spatiotemporal prediction of overdose mortality risk in Rhode Island, and qualitative assessments of several public health and public safety partnership interventions. His research has been supported by the Centers for Disease Control and Prevention, New York City Department of Health and Mental Hygiene, and Commonwealth Fund.
Dr. Allen received a PhD in Epidemiology from the NYU Grossman School of Medicine and MPA in Public Policy from the NYU Wagner School of Public Service. Prior to joining NYU, he worked in substance use and mental health policy for the New York City government.
Katharina Schultebraucks
Co-Director, Computational Psychiatry Program and Associate Professor, Department of Psychiatry and Population Health, NYU Grossman School of Medicine
Since early in her dissertation project, Katharina Schultebraucks’ research has focused on studying mental disorders from a translational point of view by examining primary behavioral functions and dysfunction of various neuroendocrine, molecular, cellular, and genetic pathways from an integrative, multi-systems point of view.
Dr. Schultebraucks completed her PhD in the Department of Psychiatry and Psychotherapy at the Charité – Universitätsmedizin Berlin in Germany and the Department of Psychology at the Free University, Berlin (degree: summa cum laude – graduate with honors). She did her postdoctoral fellowship in the Department of Psychiatry at NYU Grossman School of Medicine and was the Florence Irving Assistant Professor and Director of Computational Medicine and Artificial Intelligence in the Department of Emergency Medicine and Psychiatry at Columbia University before joining NYU in January 2023. She is currently Co-Director of the Computational Psychiatry Program and Associate Professor in the Department of Psychiatry and in the Division of Healthcare Delivery Science, Department of Population Health at NYU Grossman School of Medicine.
Dr. Schultebraucks investigates longitudinal and prospective studies to identify complex sets of early predictors. Her primary research focus is centered on precision psychiatry by applying advanced computational methods to improve individualized risk stratification and individualized treatment allocation, leading to publications in Nature Medicine, JAMA Psychiatry, and Molecular Psychiatry as the first and corresponding author. It is important to ensure the accuracy and generalizability of machine learning algorithms, in particular, whether the algorithm provide fair and equitable risk stratification and treatment assignment. Dr. Schultebraucks has been awarded several awards and national and international grants, e.g., she is currently the PI of two R01s funded by the National Institutes of Health (NIH) and PI of a multicenter grant funded by the Swiss National Science Foundation.