From R Shiny to Production: How We Built a Clinical Calculator for a Nature Medicine Paper
How we rebuilt PANGEA-SMM's R Shiny prototype into a production React + R Plumber web app — deployed on Netlify and GCP — for a Nature Medicine publication.
Thoughts on bioinformatics, data visualization, computational biology, and life.
How we rebuilt PANGEA-SMM's R Shiny prototype into a production React + R Plumber web app — deployed on Netlify and GCP — for a Nature Medicine publication.
Cancer charts show similar numbers for colon and breast cancer. But adding one variable—sex—reveals a completely different story about who is actually affected.
How to build collaborative research infrastructure using IGV, format conversion, and GitHub Actions automation—without a dedicated development team.
Fitness apps show weekly summaries but miss the real story. I built a dashboard to track months of running data and discovered what actually drives progress.
Custom AI commands ensure consistent scientific paper reviews. Learn to automate any repeated workflow while maintaining quality and thoroughness through systematic evaluation.
Run IGV directly in your cloud workspace with automatic track discovery. Eliminate downloads and view genomic data where it lives. Open source proof of concept for Seqera Platform users.
Garmin's cadence color zones are percentile rankings, not personal optimization. Here's what those orange and red zones actually mean—and when you should worry.
Example of automation with miniaml investment but good results
Talk to a computational biologist scientist from the idea not the data
The mistakes and the success of building as fastest as possible the infrastructure
Finally tired of the broken TP holder and how to make a trip to Home Depot a 2 months project.
My personal experience with cancer and how much work still to do
My personal experience giving up on academia to bet on industry