About me

Hello, I'm Javier, a PhD student and researcher based in Switzerland. I have rich experience in applying Machine and Deep Learning models. Also, I am good at

  • Python
  • PyTorch
  • Rust
  • GPU Programming (WGSL)
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  1. Predicting OCT biological marker localization from weak annotations Javier Gamazo Tejero, Pablo Márquez Neila, Thomas Kurmann, Mathias Gallardo, Martin Zinkernagel, Sebastian Wolf, Raphael Sznitman Nature Scientific Reports, 2023 Paper
  2. Domain Adaptation for Medical Image Segmentation Using Transformation-Invariant Self-training Negin Ghamsarian, Javier Gamazo Tejero, Pablo Márquez-Neila, Sebastian Wolf, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2023 Paper
  3. Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns Javier Gamazo Tejero, Martin Zinkernagel, Sebastian Wolf, Raphael Sznitman, Pablo Márquez Neila IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 Paper  Project page

quality work
Recently done projects

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  • Python
  • Rust
  • Other

Voxel Renderer

Understanding GPU Compute Shaders

February - March 2023

CME and RDME Solver

Solving CME and RDME with Rust. Early steps for a simple cell simulation

September 2022


Developing a rasterizer from scratch with Rust

August 2022

Curved Ray Tracer

Ray tracing and Schwarzschild metric

April 2021

Looking through a wormhole

C++, ray tracing and general relativity equations

January - February 2021

Person Remover v2

PyTorch and partial convolutions

November 2020

Dino AI

Evolutionary computing

September 2018

White matter hyperintensities generation

Tensorflow, Generative Adversarial Networks

May - June 2019

Analysis of a stochastic model of corruption

Stochastic models, infection propagation, Monte Carlo and Markov frameworks

July 2016 - July 2017