Kirsten Landsiedel


Kirsten is a PhD student in Biostatistics at UC Berkeley, mentored by Mark van der Laan and Laura Balzer. Her research interests include targeted machine learning and causal inference with applications to complex, real-world data. She is currently working on improving the efficiency of estimators in adaptive resampling designs, estimating TB incidence in children and adolescents in Uganda, and better understanding the link between alcohol use and TB infection.

Research interests: 

Targeted Machine Learning, Causal Inference, Survival Analysis, Infectious Disease