Welcome to CTML
A center advancing the state of the art in causal inference, machine learning, and precision health methods.
The Center for Targeted Machine Learning and Causal Inference, at UC Berkeley is an interdisciplinary research center for advancing, implementing and disseminating methodology to address problems arising in public health and clinical medicine. The Center brings the rigor and power of statistical theory together with advances in machine learning and causal inference to generate robust evidence for advancing health.
2022 American Causal Inference Conference
ACIC is an interdisciplinary conference designed to bring together researchers, students, and practitioners of causal inference with emphasis on theory, methodology, and application.
Learn more about ACIC:
https://acic.berkeley....Read more about 2022 American Causal Inference Conference
Joint Initiative for Causal Inference Webinar
2023 Webinar schedule to be announced soon. Stay tuned.
https://berkeley.catalog.instructure.com/courses/joint-initiative-for-ca...Read more about Joint Initiative for Causal Inference Webinar