About

I am a postdoctoral fellow in the lab of Prof. Stephanie Hicks at the Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, where I am working on data analysis, statistical methodology, and software development for single-cell data.

I am interested in rigorous development and benchmarking of statistical and computational methodologies, with applications in high-throughput biological data, especially single-cell genomic and proteomic data. Most of my work uses the R programming language, and I develop software packages for the Bioconductor project. I am strongly committed to open science, including publication of preprints and open access publications, as well as freely accessible software, code, and data repositories.

I am also interested in teaching, especially R programming skills, and have been an instructor for several short workshops taught through the Data Carpentry and Software Carpentry initiatives.

My training includes a PhD in Biostatistics with Prof. 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 for several years as a policy analyst for the Australian federal public service.

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