Causal Subgroup Discovery
Last updated on
Mon, May 16, 2022

Nima Hejazi
NSF Postdoctoral Research Fellow in Biostatistics
My research broadly concerns the intersection of causal inference and machine learning, both in the development of novel methodology tailored to modern science and in applications to the statistical analysis of complex data from observational studies and experiments in the biomedical and health sciences.
Related
Publications
A framework for causal segmentation analysis with machine learning in large-scale digital experiments
We present an end-to-end methodological framework for causal segment discovery that aims to uncover differential impacts of treatments …
Talks
A Framework for Causal Segmentation Analysis with Machine Learning in Large-Scale Digital Experiments
We present an end-to-end methodological framework for causal segment discovery that aims to uncover differential impacts of treatments …
Fri, Nov 5, 2021 2:30 PM
Boston, Massachusetts, United States (remote due to COVID-19)