Department:
Biostatistics
Bio/CV:
Tianyue Zhou is currently a PhD student in Biostatistics at the University of California, Berkeley, working with Mark van der Laan and Maya Petersen. His research interests primarily lie in the intersection of causal inference and machine learning. His other work research interests include real-world evidence generation and improving efficiency in randomized trials.
Research interests:
causal inference, machine learning, real-world evidence, covariate adjustment, rare diseases, randomized trials
