Hi, I'm Gabi.

I'm a medical student based in Barcelona and a self-made data scientist. I love Medicine, coding and data mining.

Right now I work in the crosspoint of these amazing fields exploring the deep secrets of the brain thanks to MRI Technology.

Public PGP

Short attention span



Usually I work in bursts. I do big crazy super productive bursts. Maybe because when I was at school I was lucky enough of being able to resolve every problem I had working hard in short period spans.

And that’s not a bad thing. Human attention usually can’t last longer than 45 minutes. That’s why working in bursts can make you super productive, but I’ve been making a wrong distribution of my working units (1 unit = 50 minutes of attention) all the time. Working units and burst working are not new, but nobody told my that the way I was distributing those working units was wrong nor important.

The distribution is as important as resting. Why ? Because of our memory. We have different types of memories and being able to make all of them work, it’s not an easy task and requires time.

TL;DR:

 Types of Memories

So what was I doing so wrong? I was doing all the working units for a specific project in a row. And how bad can be that ? Really, really bad in my experience. Why ? Because usually you are not giving yourself enough time to make your Working-Memory store all those things into your Long-Term-Memory. WTF Brain ? I was working hard !!

And that sounds strange I know. If I store something in a DB, it should be just there (more or less consistently but there). But be careful, your brain is not a DB, you don’t have the permissions for writing in your Long-Term-Memory. You only have access to your cache (Working-Memory). And those things that stay around enough time in your cache eventually are stored in the DB. This looks like a super stupid analogy. But it’s true.

Every time someone tells me, I learned X just in a weekend, I feel sorry for them, because now I know that if they didn’t keep working on that, they know nothing about X.