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20 followers · 44 following
  • CRG
  • Barcelona

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LedaKatopodi/README.md

Hi~!👋

My name is Leda/ Λήδα/ 丽达

and here are some facts about me:

 

⚗️ I am a Chemical Engineer by training,

💻 but currently on a not-so-undercover research mission posing as a Computational Biologist

🌊 I grew up next to the sea, so I decided to move to the seaside city of Barcelona, Spain, for my PhD

👩‍🎓 so now I am a PhD student at the Epitranscriptomics and RNA Dynamics lab, at the Center for Genomic Regulation (CRG).


 

🐍 I mainly write in R because it's easy on my engineer brain;
Python is fun too

💎 I use Obsidian as a second brain, and sometimes I write code for it that I publish to this repo

🎨 Graphic design is my passion, so you bet I spend an hour choosing the perfect font

🖌️ ggplot and BioRender are my besties

🎟️ I have discovered that emojis help me navigate through a repo so,
bear with me, my repo READMEs are filled with emojis

📸 I also like to find a photo that vaguely expresses the theme of each repo


 

🐳 I really really really like whales, so much that

🐱 Yes, I am a cat person; yes, I am slightly allergic to cats; no, I won't stop petting them

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  1. arriba-y-abajo arriba-y-abajo Public

    🎨 A visualization library for downstream (or abajo-stream) investigation of gene fusion events from Arriba.

    R

  2. library-of-cheatsheets library-of-cheatsheets Public

    📑 A library of example code -aka cheatsheets- for tools I use or analyses I carry out pretty often. This repo doubles as an easy way to find the code I need without going through all my scripts.

    Shell

  3. obsidian-scripts-n-snippets obsidian-scripts-n-snippets Public

    💎 Repo with scripts and snippets that help me organize my Obsidian vault.

    R

  4. pneumonia-classification pneumonia-classification Public

    🩺 Investigation of image processing techniques that increase the accuracy of a neural network implementation for the classification of pneumonia types.

    Jupyter Notebook

  5. simple-kv-database simple-kv-database Public

    The purpose of this project is to create a simple version of a distributed, fault-tolerant, Key-Value (KV) database (or store).

    Python