Archived Events

4/26/24: Biostatistics Lightning Talk - Sponsored by CTML

We are excited to announce the 2nd Biostatistics End of the Year (EOY) Lightning Talk session, sponsored by CTML, scheduled to take place on Friday, April 26th, 2024 from 2:00 PM - 4:00 PM in room 5101 of Berkeley Way West building. This event will showcase and highlight the work of postdocs, graduate students, and visiting scholars from the past year.

Lightning Talk Speakers Presenter Research Topics Speaker Slide Wenxin Zhang Confidence Intervals Based on Highly Adaptive Lasso...

4/17/24 Seminar: "Does the Use of New Weight Loss Drugs/Diabetes Drugs (Glucagon-Like Peptide 1 Receptor Agonists) Increase the Risk of Depression, Suicide, and Self-Harm?"

Ending our Spring 2024 CTML Seminar Series strong on April 17, we have speaker Dr. Bochra Zareini coming to speak. Her talk, "Does the Use of New Weight Loss Drugs/Diabetes Drugs (Glucagon-Like Peptide 1 Receptor Agonists) Increase the Risk of Depression, Suicide, and Self-Harm?" will take place at 12 PM at Berkeley Way West, 5th Floor, Room 5401.

Please note the talk date will be Wednesday, April 17.

The recent surge in the use of new weight loss and diabetes medications, specifically glucagon-like peptide 1 receptor...

3/6/24 - 3/9/24 ISBS Symposium

ISBS Symposium

Date(s): Wednesday, March 6 - Saturday, March 9

Location: Hilton Baltimore Inner Harbor, Maryland, USA

CTML Guest Speaker(s): Mark van der Laan, Ph.D., Susan Gruber, Ph.D. (CTML Alum),...

4/11/24 CAMSE/CLIMB Mini-Conference

Date and Time: Thursday, April 11| 1:30 – 5:30 PM

Location: 250 Sutardja Dai Hall, 2594 Hearst Ave, Berkeley, CA 94720, USA

CTML Guest Speaker: Alejandro Schuler, Ph.D.

Alejandro will be presenting his project on "Lassoed Tree Boosting," click on the link here for further information on his publication:...

4/9/24 Seminar: "Evaluating Preventive Interventions for Long COVID Through Targeted Machine Learning"

Join us next week to hear a talk from Zach Butzin-Dozier in our CTMLSpring 2024 Seminar Series. His talk on "Evaluating Preventive Interventions for Long COVID Through Targeted Machine Learning" will take place on April 9 at 12 PM.“In this presentation, I will discuss two studies that applied a Targeted Machine Learning approach to data from N3C. First, I will present our findings from the Long COVID Computational Challenge,...

3/14/24 Join us for Big Give 2024!

The Center for Targeted Machine Learning and Causal Inference (CTML) at UC Berkeley is a vibrant hub where students from different disciplines come together to push the boundaries of public health and clinical medicine research. With over 15 Graduate Student Researchers (GSR), CTML is at the forefront of blending statistical theory with the latest in machine learning and causal inference to create strong, evidence-based advancements in health research. CTML GSRs have led projects on novel methods on the integration of observational and randomized data, on targeted learning treatment...

10/24/23 Seminar: Causal Inference and LLMs: A New Frontier

You can find a recording of Dr. Kiciman's Talk here.

Dr. Emre Kiciman, Senior Principal Researcher at Microsoft Research, gave insightful and timely seminar on causal inference and large language models (LLMs) and the larger impacts, followed by an engaging discussion.

This seminar is co-presented by the Center for Targeted Machine Learning and Causal Inference (CTML) at UC Berkeley, and Computational Precision Health.

Abstract: The...