Linda Valeri is an Assistant Professor in Biostatistics at the Columbia University Mailman School of Public Health and Adjunct Assistant Professor in Epidemiology at Harvard T.H. Chan School of Public Health.

Dr. Valeri received an M.Sc. in Economics and Social Sciences from Bocconi University and a Ph.D. in Biostatistics from Harvard University. Dr. Valeri has published several methodological articles on various aspects of models for causal mediation analysis along with articles applying mediation analysis methodology in the fields of environmental health, health disparities research, and mental health. She has also led the development of several commands for mediation analysis in SPSS (mediation), SAS (mediation now proc causalmed), STATA (med4way) and R (CMAverse). Furthermore, she has developed machine learning approaches under the Bayesian framework to estimate the potentially non-linear and non-additive total, direct and indirect effects of a high dimensional set of exposures and to conduct variable selection. She applied these approaches to the study of environmental exposure effects on neurological and cardiovascular outcomes. She is currently funded by the National Institute of Mental Health to develop causal inference approaches for mHealth and by the National Institute of Aging to develop data science approaches for to uncover mechanisms leading to Alzheimer’s disease involving multivariate dynamic disease processes. She serves as Associate Editor for the International Journal of Biostatistics and as Statistical Editor for JAMA Psychiatry and JAMA Network Open.