I am a postdoctoral researcher in Dr. Stephanie Hicks’s group in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health.

My work is on the development of statistical methodology and software for analyzing high-throughput genomics data, in particular spatially resolved transcriptomics and single-cell RNA sequencing data. My methodological work is motivated by collaborative projects with experimental researchers in fields including neuroscience and cancer.

I support open science principles, including the release of open-source software, free availability of code and data resources, and publication of preprints. For methodological work, I support rigorous benchmarking against existing methods. Most of my work is in the R programming language, and I have developed several software packages for the open-source Bioconductor project. I also enjoy teaching, and have been an instructor for several Data Carpentry and Software Carpentry workshops. In January 2021, I received a Research Symbiont award in recognition of my efforts in sharing open code and data resources.

My training includes a PhD in Biostatistics with Dr. Mark Robinson at the University of Zurich, Switzerland, and a MSc in Statistics at ETH Zurich, Switzerland. Previously, I studied physics, mathematics, and economics at the University of Western Australia and Australian National University, and worked as a policy analyst for the Australian federal public service.