Archived Events

4/1/26 Seminar: "Longitudinal Targeted Maximum Likelihood Estimation for Two-Stage Designs"

Be part of the conversation! On Wednesday, April 1, the CTML Seminar Series welcomes CTML GSR Kirsten Landsiedel, who will present her talk, “Longitudinal Targeted Maximum Likelihood Estimation for Two-Stage Designs.” The seminar will take place at 12:00 PM in Berkeley Way West, 5th Floor, Room 5401.

Abstract: We consider longitudinal survival studies where individuals are followed until failure or random end-of-study and some are lost to follow-up (LTFU) before either event is recorded. When LTFU is...

3/18/26 Seminar: "Emulation of the ACORN RCT Using Observational Data from a Large Integrated Health System in California"

Don't miss the next session of the CTML Seminar Series on Wednesday, March 18th, where CTML Postdoc Marie Charpignon will discuss "Emulation of the ACORN RCT Using Observational Data from a Large Integrated Health System in California." This talk will take place from 12:00PM-1:00PM at Berkeley Way West, 5th Floor, Room 5401.

Abstract: This study employs a target trial emulation framework to replicate the design of the ACORN randomized controlled trial (RCT) conducted in 2021–2022 at Vanderbilt...

3/11/26 Seminar: Tianyue Zhou and Toru Shirakawa

We’re excited to host two insightful talks next week as part of our CTML Seminar Series on Wednesday, March 11th from 12:00PM-1:00PM at Berkeley Way West, 5th Floor, Room 5401.

Tianyue Zhou, CTML Graduate Student Researcher
Title: "Generating High-Quality Real-World Evidence at Scale with a Causal Roadmap Copilot"
Abstract: In this talk, I will discuss why we are at an unprecedented moment for generating rigorous real-world evidence at scale. I will then introduce our vision for what we aim...

Biostatistics Research Social Hour Sponsored by CTML

Date: TBD Time: TBD Location: BWW | 5th Fl Emeriti Lounge Audience: Open to entire Biostatistics Community

2/25/26 Seminar: "Spatial Superlearner for Subnational Micronutrient Deficiency Prediction and Proxy Identification in Data-sparse Settings"

Hear from a leading expert in the field! Join us next Wednesday, February 25th for a seminar with Andrew Mertens, Ph.D., presenting "Spatial Superlearner for Subnational Micronutrient Deficiency Prediction and Proxy Identification in Data-sparse Settings." The seminar will take place at 12:00 PM in Berkeley Way West, 5th Floor, Room 5401. The speaker will present remotely.

Abstract: Vitamin and mineral deficiencies remain a major contributor to anemia, impaired child development, adverse pregnancy...

2/18/26 Workshop: "Simulations Done Right"

Design better simulations—and understand why they matter! Join CTML on Wednesday, February 18th for “Simulations Done Right,” a workshop with Alejandro Schuler, CTML Faculty. This workshop will take place at 12:00 PM in Berkeley Way West, 5th Floor, Room 5401.

Abstract: Simulation studies are ubiquitous in statistical research and practice, but students are rarely given formal training in how to design them. Since they are not glamorous, many...

2/11/26 Seminar: "Highly Adaptive Principal Component Regression: Fast HAL/HAR via Outcome-Blind Kernel PCA"

This week’s seminar brings another thought-provoking discussion! Join us on February 11th to hear from CTML GSR Mingxun (Michael) Wang presenting his talk on "Highly Adaptive Principal Component Regression: Fast HAL/HAR via Outcome-Blind Kernel PCA." The seminar will take place at 12:00 PM in Berkeley Way West, 5th Floor, Room 5401.

Abstract: The Highly Adaptive Lasso (HAL) has strong rate guarantees under minimal smoothness assumptions, but can be computationally prohibitive in moderate to high dimensions due to its...

3/19/25: Biostatistics Career Panel Spring 2025

Join us for our Spring Biostatistics Career Panel! We’re thrilled to bring you a career panel featuring leading figures in biostatistics. Dive into their career stories, explore their research, and their unique perspectives on the field. This is your chance to engage in lively discussions and discover the many exciting paths within biostatistics!

Date: Wednesday, March 19th

Time: 12:00pm - 1:30pm (This event will begin at 12pm sharp)

Location: Berkeley Way West, 5th Fl, Rm 5401

2/4/26 Seminar: "A Conformalized Inference on Unobservable Variables"

We’re pleased to welcome Toru Shirakawa, CTML GSR and CPH PhD Student, to next week’s CTML Seminar on Wednesday, February 4th, presenting on “A Conformalized Inference on Unobservable Variables.” The seminar will take place at 12:00 PM in Berkeley Way West, 5th Floor, Room 5401.

Abstract: Quantifying uncertainty in predicted unobservable variables is a critical area of research in statistics, artificial intelligence, and empirical science. Most scientific studies assume a specific structure involving unobservable...

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...