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.
For accessibility accommodations, please contact Christina Da Silva at cdasilva@berkeley.edu
2024 CTML Seminar Series
| Presenter | Research Topics | Link to Slides |
|---|---|---|
| Haodong Li | Targeted Learning on a Variable Importance Measure for Treatment Heterogeneity | Slides |
| Romain Pirracchio | Clinical AI; What We Need From You to Make This Revolution a Reality | Video |
| Toru Shirakawa | Deep LTMLE: Longitudinal Targeted Maximum Likelihood Estimation with Temporal-Difference Heterogenous Transformer | Video For access please contact ctml_admin@berkeley.edu |
| David McCoy | Discovery of Critical Thresholds in Mixed Exposures and Estimation of Policy Intervention Effects Using Targeted Learning | Slides |
| Ashley Buchanan | Power and Sample Size for Evaluating Spillover Effects in Networks With Non-Randomized Interventions | Slides |
| Ahmed Alaa | Conformal Meta-learners for Predictive Inference of Individual Treatment Effects |
Slides | Video | Publication |
| Kaitlyn Lee | Causal Inference with Binarized Continuous Treatments | Slides |
| Noel Pimentel | Score Preserving Targeted Maximum Likelihood Estimation | Slides |
| Zachary Butzin-Dozier | Evaluating Preventive Interventions for Long COVID Through Targeted Machine Learning | Slides |
| Bochra Zareini | 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? | Slides |