Causal Learning for Individual and Population Health in the Era of AI

GRAND ROUNDS

For this month’s Grand Rounds, Linda Valeri, PhD, will discuss causal inference and technologies that reshape how we learn from data. These approaches will be explored to strengthen public health decision making at the individual level and generalizable evidence. Valeri will also discuss the challenges and opportunities for conducting ethical research in the era of AI and causal inference.

Dr. Linda Valeri is a tenured associate professor and program director at Columbia University Mailman School of Public Health's Biostatistics Department and also serves as an adjunct assistant professor of Epidemiology at the Harvard T.H. Chan School of Public Health.

Valeri is an expert biostatistician who specializes in causal inference, focusing on statistical learning and biostatistical methodology. Her research encompasses measurement error, causal mediation analysis, missing data, and integrating data from multiple sources, including smartphone and wearable devices, life-course cohort studies, and electronic medical records, among diverse populations. She holds a doctorate degree in Biostatistics from Harvard University.

Valeri has also developed widely used open-access computational tools for causal inference which has benefited scientists across biomedical and social sciences. As PI awards from the National Institute of Aging, the National Institute of Mental Health, and the National Institute of Environmental Health Sciences she collaborates with interdisciplinary teams to advance our understanding of mental health across the life-course, health disparities, and environmental determinants of health, contributing to informed evidence based policy-making.

She is active as editor for the Data Science section at Current Environmental Health Reports, as associate editor for the International Journal of Biostatistics, and as Statistical Editor for JAMA Psychiatry. Valeri is also enthusiastic in her service to the regional and national community of statisticians, serving as co-chair of the program committee for the Eastern North American Region Conference of the Biometrics society and as elected Council of Sections Representative for the ASA Mental Health Statistics Section.

This lecture will be offered online and in-person. All registrants should RSVP. Virtual attendees will receive the livestream link after registering.

Event Venue & Nearby Stays

CUNY Graduate School of Public Health & Health Policy, 55 West 125th Street, New York, United States

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