Home | Center for Targeted Machine Learning and Causal Inference

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

Andrew Mertens, PhD, MS, MA speaks on Drivers of Seasonal Infant and Child Growth Failure

Nov 14, 2023 12:10pm – 1pm. Please pre-register here.

Speaker: Andrew Mertens ...Read more about Andrew Mertens, PhD, MS, MA speaks on Drivers of Seasonal Infant and Child Growth Failure

Stanford Berkeley UCSF Next Generation Faculty Symposium

This November 17th symposium is a virtual event in collaboration between Stanford, Berkeley, UCSF, and the Chan Zuckerberg Biohub-San Francisco, to showcase and increase the quality and...Read more about Stanford Berkeley UCSF Next Generation Faculty Symposium

Upcoming Events

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: Wednesdays at noon for the fall 2023 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.

Find the Seminar Syllabus here.

Monthly Biostatistics Research Social Hours sponsored by CTML

Purpose: Come and socialize with the vibrant biostatistics community during our monthly gathering.

Date & Time: October 19th, 2023, 4:00 PM - 5:00 PM.

Location: Berkeley Way West, 5th Floor Terrace.

Audience: Open to the entire biostatistics community.

Note: Please fill out this google form(link is external) to RSVP for the next Monthly Biostatistics Research Social Hours Event by Sept 5th.

Fall 2023 Biostatistics Lightning Talks Coming Soon

CTML is excited to sponsor the Fall 2023 Biostatistics Lightning Talks, date TBD. More details and sign up form to come soon.

CTML in the News

Causes and Consequences of Child Growth Faltering in Low-resource settings

September 14, 2023

First-authored by CTML's Andrew Mertens and published Wednesday, September 13 in the journal Nature, the study is the largest, most comprehensive look yet at the causes and consequences of growth faltering within the first two years of life. Additional authors include Jade Benjamin-Chung, John M...Read more about Causes and Consequences of Child Growth Faltering in Low-resource settings

A critical window: Early malnutrition sets stage for poor growth and even death

September 13, 2023

A trio of papers, published Wednesday, September 13 in the journal Nature, focus on what scientists refer to in children as stunting, meaning they are short for their age; and wasting, meaning that they weigh too little for their height. Stunting indicates chronic malnutrition while wasting...Read more about A critical window: Early malnutrition sets stage for poor growth and even death

Start with the target trial protocol; then follow the Roadmap for causal inference

May 31, 2023

Lauren Eyler Dang, recent CTML graduate, and Laura Balzer, Associate Professor, discuss the relative merits of two frameworks for causal Inference: Target Trial Emulation (TTE), which is currently receiving a lot of press, and the Causal Roadmap, developed by Maya Petersen and Mark...Read more about Start with the target trial protocol; then follow the Roadmap for causal inference

Accessibility Statement

If you require an accommodation for effective communication (ASL interpreting/CART captioning, alternative media formats, etc.) or information about campus mobility access features in order to fully participate in this event, please contact Christina Da Silva at cdasilva@berkeley.edu with as much advance notice as possible and at least 7-10 days in advance of the event."