Spring School on Causality

Antoine Chambaz is a Professor at Université Paris Cité, member of the applied mathematics laboratory (MAP5). He is the head of the Statistics group since June 2018, and the director of the FP2M research federation. His main research interest is in theoretical, computational and applied statistics.

Caleb H. Miles is an Assistant Professor in the Department of Biostatistics at the Columbia University Mailman School of Public Health. He works on developing semi-parametric methods for causal inference and applying them to problems in public health. His applied work has largely been in HIV/AIDS, and he has more recently begun to work on psychiatric applications. His current methodological research interests include causal inference, its intersection with machine learning, mediation analysis, interference, and measurement error.

Linda Valeri is an Assistant Professor in Biostatistics at the Columbia University Mailman School of Public Health and Adjunct Assistant Professor of Epidemiology at the Harvard T.H. Chan School of Public Health. She joined Columbia Mailman School of Public Health in 2018 after 3 years as faculty at the Laboratory of Psychiatric Biostatistics of McLean Hospital and the Department of Psychiatry at Harvard Medical School. Her research interests are at the intersection of causal inference, biostatistics, epidemiology, and machine learning. She is fond of collaborating with researchers and practitioners in the biomedical and social sciences and of translating statistical methods in Public Health to improve our understanding of mental health, environmental determinants of health, and health disparities. She is the recipient of an NIH Career Development Award to develop causal inference methodology for mobile health studies in Psychiatry.