I am a collaborative biostatistician who builds tools to enable high quality, impactful science.

I develop methods and collaborations that create knowledge to improve human health. My work is driven by a commitment to build usable and accessible methods, and I am driven by deep substantive collaboration across disciplines. I am interested in bridging gaps between statistical theory and practice, and building and disseminating tools to help scientists across fields – including oncology, health policy, substance use, and implementation science – ask better questions and arrive at trustworthy answers.

I am an expert in causal inference with complex repeated-measures data.

I have deep expertise in the design and analysis of sequential, multiple-assignment randomized trials (SMARTs), particularly those with longitudinal outcomes. In non-experimental settings, my work focuses on statistical issues in the use of multilevel data for health policy evaluation.

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