Lukas M. Weber
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.