3/13/25 Join us for Big Give 2025!

The Center for Targeted Machine Learning and Causal Inference (CTML) at UC Berkeley is more than just a research center—it's a vibrant community of innovative thinkers pushing the boundaries of machine learning and statistical theory to tackle critical challenges in public health and clinical medicine. 

With over 10 talented Graduate Student Researchers, CTML is renowned for its groundbreaking contributions that improve health outcomes locally and globally. By partnering with faculty across disciplines, these students are shaping the future of research and healthcare.


Your contribution makes an impact to CTML in the following ways:

  • Foster Future Leaders - Support and train emerging public health researchers.

  • Amplify Research - Enable scholars to share their groundbreaking work globally.

  • Improve Health Outcomes - Help expand vital research that leads to better healthcare solutions for all.

Meet the CTML Graduate Student Researchers

Kaitlyn Lee

Kaitlyn is a Biostatistics PhD student. She gave a poster presentation at the American Causal Inference Conference (ACIC).

"Support like yours allowed me to present my poster at the American Causal Inference Conference. It was my first time presenting research at a conference, and the experience was invaluable. ACIC provided me with the opportunity to share my research and engage in discussions that will strengthen my work as a researcher going forward. Contributions like this have a meaningful impact on academic and professional trajectories, and we are always deeply grateful for them."

CTML GSR Nolan Gunter

Nolan Gunter

Nolan is a Biostatistics PhD student. He gave a poster presentation at the International Conference on Health Policy Statistics (ICHPS)

"The CTML travel fund sponsored travel to my first conference, San Diego ICHPS. I gained experience presenting a research poster and discussing how targeted learning can improve health policy. The conference exposed me to current research by other statisticians and expanded my academic network."

Wendy Ji CTML GSR

Wendy Ji

Wendy Ji is a Biostatistics PhD student. She gave a poster presentation at the American Causal Inference Conference (ACIC).

"Presenting my poster at ACIC offers a valuable opportunity to showcase my project and receive feedback from a broader audience in causal inference. I feel really motivated by the interest from the audience and sincerely appreciate this incredible experience sponsored by CTML."

Big Give 2025