David Chen


David Chen is a PhD student in Biostatistics at UC Berkeley, working with Maya Petersen and Mark van der Laan. He currently leads the JICI working group on Competing Risks, which pushes forward the targeted learning and causal roadmap framing of competing risks analysis via software development and real world data applications. His research interests lie in the intersection of causal inference, machine learning, and semi-parametric estimation; in particular the effective translation and practice of these methods.