Events

CTML Events

Background image: CTML Spring Seminar Series

CTML Events

4/2/25 Seminar: "Improving Finite Sample Performance in Auto-Debiased Causal Neural Networks with RieszDragon"

Our CTML Seminar Series continues on April 2nd with an exciting talk led by Nolan Gunter on "Improving Finite Sample Performance in Auto-Debiased Causal Neural Networks with RieszDragon." Don't miss this...Read more about 4/2/25 Seminar: "Improving Finite Sample Performance in Auto-Debiased Causal Neural Networks with RieszDragon"

5/2/25: Biostatistics Research Showcase

Join us for the Biostatistics Research Showcase! An event designed to highlight the incredible research conducted by our students over the past year. This showcase provides an excellent platform for students to share their work with faculty, peers, and special guests, including...Read more about 5/2/25: Biostatistics Research Showcase

Biostatistics Research Social Hour Sponsored by CTML

Date: TBA Time: TBA Location: TBA Audience: Open to entire Biostatistics CommunityRead more about Biostatistics Research Social Hour Sponsored by CTML

OTMLE Reading Group - Fridays @ 2pm

Starting January 24th, the OTMLE (Optimal Transport and Targeted Maximum Likelihood Estimation) reading group will further investigate the geometry of probability spaces and the implications for TMLE’s structure and behavior. Topics include deeper explorations of how optimal transport’s...Read more about OTMLE Reading Group - Fridays @ 2pm

Spring 2025 CTML Seminar Series

CTML Seminar Series: Presentations and Resources
The following tables provide easy access to presenter information, research topics, and slide decks, making it a valuable resource for all members of the CTML community and anyone interested in the forefront of scientific inquiry...Read more about Spring 2025 CTML Seminar Series

CTML Spotlight

Keep up with where our CTML students, faculty, and staff travel next!

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4/17/24 - 4/19/24 Maya Petersen — Keynote speaker at EuroCIM 2024

EuroCIM 2024

CTML faculty Maya L. Petersen will present "The Causal Roadmap in the Age of AI: From All-Wheel Drive to Formula 1" at the European Causal Inference Meeting in Copenhagen, Denmark, from April 17-19, 2024.

4/17/24 - 4/19/24 ​EuroCIM 2024 Course — “Unlocking the Mysteries of Mixed Exposures: Targeted Learning for Robust Discovery and Causal Inference in Epidemiology”

EuroCIM - "Unlocking the Mysteries of Mixed Exposures: Targeted Learning for Robust Discovery and Causal Inference in Epidemiology”

CTML faculty, researchers, and alumni, David McCoy, Mark van der Laan, Alan Hubbard, Alejandro Shuler, Rachael Phillips, and Ivana Malenicawill will facilitate their course at the European Causal Inference Meeting in Copenhagen, Denmark, from April 17-19, 2024.

5/14/24 - 5/17/24 The 2024 American Causal Inference Conference (ACIC)

ACIC 2024 - Seattle, WA, May 14–17

SHORTCOURSE

“Unlocking the Mysteries of Mixed Exposures: Targeted Learning for Robust Discovery and Causal Inference in Epidemiology”

CTML Feature: David McCoy, Ph.D.

“Highly Adaptive Lasso and Adaptive TMLE in Causal Inference”

CTML Feature: ...

5/5/24 - 5/8/24 Mark van der Laan — Speaker at ISPOR 2024

ISPOR 2024

CTML faculty Mark van der Laan will speak at the Professional Society for Health Economics and Outcomes Research (ISPOR) conference at the Georgia World Congress Center in Atlanta from May 5-8. His workshop “Targeted Learning for Causal Inference Using Real-World Data” aims to discuss the application of novel methods of estimating causal inference using real-world data.

6/18/24 - 6/21/24 2024 Society for Epidemiologic Research (SER) Conference

SER Conference 2024 - Austin, TX, June 18-21

PRESENTERS

“When Measurement Mediates the Causal Effect of Interest”

CTML Feature: Joy Nakato

“Simulations to Improve the Rigor & Reproducibility of Real-data Applications”

CTML Feature: ...

6/24/24 - 6/28/24 ​“Machine Learning for Epidemiologic and Health Policy Analysis” course at the University of Oslo

​“Machine Learning for Epidemiologic and Health Policy Analysis”

CTML faculty Alan Hubbard alongside CTML Rachael Phillips will facilitate a June 24-28 course focusing on advances in machine learning and its application to causal inference and prediction via Targeted Learning, which allows the use of machine learning algorithms for prediction and estimating so-called causal parameters, such as average...

Weekly CTML/Biostat Research Seminars Series

Archived Events