Dr. Eve
Le Guillou


Research Engineer
Computer Science
TUM, Campus Heilbronn

eve dot leguillou at protonmail dot com

About

I am currently a research engineering, since November 2025, at the Technical University of Munich (TUM) Campus Heilbronn, within the Warm World project.

My PhD thesis focused on topological data analysis at scale, especially the port of such algorithms to the MPI distributed-memory model, under the direction of Julien Tierny and Pierre Fortin. From 2021 to 2025, I was a contributor to the Topology ToolKit (TTK), an open source library for topological data analysis. In particular, my contributions to TTK included the port to MPI of TTK's data structure and of several algorithms.

I received a M.S. degree in 2020 in Computer Science from Cranfield University, in the "Software Engineering for Technical Computing" track, as well as an engineering degree in 2021 from Ecole Centrale de Lille in the "Data Science and Artificial Intelligence" track.

My Curriculum Vitae

Talks

2025
  • Distributed Discrete Morse Sandwich: Efficient Computation of Persistence Diagrams for Massive Scalar Data, September 23th, Paraview User Day Europe

    Annual meeting of ParaView users organized by Kitware

  • Distributed Topological Data Analysis with TTK and MPI, July 17th, Invited talk of the Chair of Computational Mathematics of TUM School of Computation, Information and Technology, Campus Heilbronn

  • Distributed Topological Data Analysis with TTK and MPI, June 26th, COMPAS

    French national conference on parallelism, architecture and system

  • Distributed Discrete Morse Sandwich: Efficient Computation of Persistence Diagrams for Massive Scalar Data, June 2nd, Journées APR

    Annual meeting of the APR team from the LIP6 laboratory

2024
  • TTK is Getting MPI-Ready, December 12th, CFHP Team presentation

    Monthly meeting of the CFHP team from the CRIStAL laboratory

  • TTK is Getting MPI-Ready, May 30th, Journées APR

    Annual meeting of the APR team from the LIP6 laboratory

2023
  • Topological Data Analysis on 1,536 cores, November 8th, MeSU User Day

    Annual meeting of the MeSU user of Sorbonne Université