Daniel Sabanes Bove
Statistical Engineering Lead
Bio
Daniel Sabanes Bove studied statistics and obtained his PhD in 2013 for his research work on Bayesian model selection. He started his career in Roche as a biostatistician and then worked at Google as a data scientist before rejoining Roche, where he is currently leading the Statistical Engineering team within Data Science Acceleration that works on productionizing R packages, Shiny modules and how-to templates for data scientists. Daniel is (co-)author of multiple R packages published on CRAN and Bioconductor, as well as the book Likelihood and Bayesian Inference: With Applications in Biology and Medicine, and is currently chairing the ASA BIOP working group on Software Engineering (SWE WG).
