About

I am an Assistant Professor in the Department of Biostatistics at Boston University School of Public Health.

My research is in statistical genomics and biomedical data science on the development of statistical methodology, open-source software, and collaborative analyses for data from high-throughput genomic technologies, applied to biological questions in neuroscience and cancer biology. Currently, I am especially focused on data from spatially-resolved transcriptomics and single-cell RNA sequencing platforms. I implement statistical methods as R packages within the Bioconductor project.

I support open science principles, including the release of freely accessible open-source software, reproducible analyses, code and data resources, and publication of preprints. During methodological work, I emphasize rigorous benchmarking against existing and baseline methods. I enjoy teaching, and have been an instructor for several short workshops on R programming and data science skills through the Data Carpentry and Software Carpentry initiatives.

My training includes a postdoctoral fellowship in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health, a PhD in Biostatistics at the University of Zurich, Switzerland, and a MSc in Statistics at ETH Zurich, Switzerland.


Contact

Lukas M. Weber, PhD
Assistant Professor
Department of Biostatistics
Boston University School of Public Health

Crosstown Building
801 Massachusetts Avenue, 3rd Floor
Boston, MA 02118, USA

Email logo Email: lmweber@bu.edu
Twitter logo Twitter: @lmwebr
GitHub logo GitHub: lmweber
Google Scholar logo Google Scholar

Lukas Weber photo