Skip to content
View elisendaortiz's full-sized avatar
7 followers · 14 following

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2

Block or report elisendaortiz

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
elisendaortiz/README.md

Hi, I'm Elis 👋

I am a Data Scientist / ML engineer 🌴.
I earned my PhD in Physics of Complex Networks from University of Barcelona (UB) where I conducted research at the intersection of physics, dynamical systems and computer science. My work there, focused on developing the foundations and applications of Network Geometry to model complex patterns in real network datasets. What people nowadays call graph embeddings? --> yes, that. You can visit my personal website for a full academic bio.

In 2025 I also founded Karabao Studios, a consulting firm where I help Data & AI professionals find clarity and direction through Strategy —for their careers, startups, and ventures. A great excuse to make good use of my biggest skill: foreseeing with annoying clarity when/why/how things won't work.

Aside from being a nerd, I'm an avid traveler and an aventure-sports enthusiast 🏄🏼‍♂️🌺

How to reach me

    Buy Me A Coffee 

Pinned Loading

  1. Phd_thesis Phd_thesis Public

    Mapping complexity through network geometry: from structure to dynamics of real-world networks

  2. mercator mercator Public

    Forked from networkgeometry/mercator

    Inference of high-quality embeddings of complex networks into the hyperbolic disk.

    C++

  3. Multiscale-Voter-Model Multiscale-Voter-Model Public

    This repository contains results from the paper "Multiscale opinion dynamics on real networks" : https://arxiv.org/abs/2107.06656

    Python

  4. qibo-log qibo-log Public

    HTML