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Lukas M. Weber is an Assistant Professor at Boston University's Department of Biostatistics within the School of Public Health. He specializes in statistical genomics and biomedical data science, focusing on the development of statistical computational methods and open-source software for collaborative analyses of data in high-throughput genomic technologies. His research is primarily applied to biological questions in neuroscience and cancer biology, with a current focus on data from spatial transcriptomics and single-cell platforms. Lukas actively contributes to improving the principles of open and reproducible science, working on the development of analysis tools and benchmarking existing methodologies. His educational background includes a PhD in Biostatistics from the University of Zurich and an MSc in Statistics from ETH Zurich. He has also completed a postdoctoral fellowship at the Department of Biostatistics at Johns Hopkins University, where he honed his skills in R programming and computational methodologies. He has been instrumental in instructing workshops aimed at enhancing computational skills among researchers, promoting the accessibility of code and data resources, and supporting the publication of preprints in the field.
Boston University • Boston, MA
Teaching and research in the Department of Biostatistics, focusing on statistical methodologies in genomic research.
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