Most of my code is open-source and available on GitHub

Scientific libraries

  • A MapReduce implementation of our server flow coreset to get large matchings in massive graphs. The goal is to test the algorithm on real-world data and see what approximation ratio is achieved. The program runs with Hadoop (e.g. on AWS).

  • NRGC, a collection of scripts to compute the exact value of the Thue number of any graph. Built on top of Gurobi.

Apps

  • Voronoi drawer, an Android app that generates Voronoi diagrams on the fly.

  • Nonogramer, a simple platform to upload and play Nonogram grids.

  • CumulativeSelection, an app to visualise the execution of genetic algorithms.

  • EasyGraph, a program to manage graphs and test algorithms.

Hackatons

  • Augmented reading, an app that reads your book with you and decide how to set the lights and play sounds to enhence your reading experience. Winner of EPFL’s LauzHack 2019.
voronoi.png
VoroDrawer
cumulative.jpg
The genetic algorithm is very close the optimal solution.
nonogramer.jpg
Nonogramer
nonogramer.jpg
EasyGraph