Welcome to CTML

A center advancing the state of the art in causal inference, machine learning, and precision health methods.

Image credit:
Keegan Houser

About CTML

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.

Featured Events

Upcoming Events

Toru Shirakawa presenting

Fall 2024 Weekly CTML/Biostat Research Seminars Series

Purpose: Join us for an informal weekly gathering aimed at discussing and collaborating on biostatistics research topics, issues, and questions. We'll have guest presenters and Graduate Student Researchers (GSR) sharing their insights.

Date & Time: TBD for the Fall 2024 semester.

Location: Berkeley Way West, 5th Floor, Room 5401.

Audience: Primarily targeted towards CTML researchers and staff, but everyone is welcome to participate.

Note: Bring your own lunch (BYOL), and we'll provide light snacks and refreshments.

Fall 2024 Syllabus TBD. Find the Spring 2024 syllabus here

5th floor, Emeriti Lounge

Monthly Biostatistics Research Social Hours sponsored by CTML

Purpose: Come and socialize with the vibrant biostatistics community during our monthly gathering continuing Fall 2024 semester.

Date & Time: TBD

Location: TBD

Audience: Open to the entire biostatistics community.

CTML Blue/Yellow Logo

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