I picked up a personal interest in laveraging bioinformatic tools to do get out more data from less experiments. This is the true spirit for an evolution into Exponential Technology. Here, a collection of all my undertakes, over the years, on Computer Languages and Data
My very first approach to computer programming language: Python
As student at Karolinska Institutet, I started a Python Club with a good friend (he was a computational PhD student, I was a wet-lab minion). We thought ourself how to use the Python language following an incredible book: Python for Biologists, from Martin Jones. I still remember the first time I created a new .txt file on my desktop using the Terminal. The thrill was real
print "Hallo World"
From string manipulation to tables: R
I deepened (seriously) my understanding of the R language during my PostDoc at Genentech. Just like in Sweden, I found an enthusiastic colleague who prompted me to start an R-Club, which became a circle of about 20 scientists, from all over campus, who wanted to get a sense for what that language could do for them
Thank project demystified the R basic to me, but it wasn’t until I discovered Tidyverse, an R Package that excel in table manipulation, that I really understood the power of R. I taught myself Tidyverse following an online course during 2020 Shelter in Place.
Getting Organized and Sharable: GitHub
Until I finally brought myself to understand the Git universe, my code was in bids and pieces all over my hard disk. Now, with a my GitHub account, I can keep track of what I write, I can share it, I can review my code with confidence and I will always know where I kept the “original version”
Go Online: Shiny
November 9th 2020: I just started a course on Shiny. I don’t know yet where it will take me, but I really wanna be able to advertise myself more as a good data scientist, and I would like to be able to make beautiful, interactive data views on my website. It’s pretty incredible what you can do under one hour!