November 2023 “Artificial intelligence for the cannabis industry.” [ES]
Presenting a retrospective on the application of data science in the cannabis industry, covering key challenges, emerging opportunities, and key developments from my years of experience.
🌐 ExpoCannabis - 📰 Flyer
May 2023 “Turning our monolithic Shiny app into a microservices-based structure.” [EN]
A 25-minute talk that presents the journey of refactoring large complex Shiny applications into a more manageable and scalable system based on microservices.
October 2020 “Contributing to open source in R.” [ES]
A 15-minute talk that presents how to contribute to open source projects in R. From finding an open-source project to submitting your first pull request.
🌐 ReproHack 2020 - 🎞 Video - 📂 Materials
October 2020 “Interactive web applications with Shiny.” [ES]
A two-hour tutorial introducing how to develop interactive web
applications from R using the {shiny} package.
🌐 LatinR Conference 2020 - 🎬 Video - 📁 Materials
April 2019 “R in the high performance computing center: Intro to MPI and massive arrays.” [ES]
A two-hour talk introducing how to work with MPI in R
({Rmpi}) and handling huge data arrays ({ff}),
followed by some hands-on examples.
🌍 National University of Córdoba - 📁 Slides - 📂 Sample Code & Source Code
March 2019 “R in the high performance computing center: Parallelizing.” [ES]
A two-hour talk presenting how to parallelize R code
({parallel}), translating for loops into
lapply, passing parameters from bash to my R script and run
it in a SLURM cluster.
🌏 National University of Córdoba - 📁 Slides - 📁 Sample Code & Source Code
May 2017 “Optimizing your R code!” [ES]
A two-hour talk presenting tools and tips that allow to evaluate and
make the most of the execution time of R code: profiling, benchmarking,
compiler, pre-allocating memory, vectorization, standard
and internal functions, apply vs for (scopes
and translation), parallelism ({BiocParallel}).
🌏 Catholic University of Córdoba - 📂 Slides - 📂 Sample Code