I am a PhD graduate from IP Paris, France. During my PhD, I worked toward making AI more accessible for biology researchers and practitioners. My aim was to accelerate research in biology by lowering the (computational) resource requirement for running state of the art models and analysis techniques. I focused on the analysis of very large multi-resolution images.

My current research interests consist in exploiting modelisation technologies to mitigate environmental impact of the human actions, by providing either improved data to better understand those impacts or accurate simulation to guide environmental policies.

I’m currently involved in the naKnow project, aiming at improving environmental footprint estimation via parametric modeling of electronic devices, in particular wafers, screens, PCBs, optical sensors and HDD, at the root of most ICT equipments.

Research

  • HeatMat: Simulation of City Material Impact on Urban Heat Island Effect
    Eurographics 2026
    Marie Reinbigler, Romain Rouffet, Peter Naylor, Mikolaj Czerkawski, Nikolaos Dionelis, Elisabeth Brunet, Catalin Fetita, Rosalie Martin
  • Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
    Euro-Par 2025
    Marie Reinbigler, Rishi Sharma, Rafael Pires, Elisabeth Brunet, Anne-Marie Kermarrec & Catalin Fetita
  • Toward a Metal Usage Effectiveness metric in Data Centers: A Study
    ICT4S 2025
    Marie Reinbigler & Rosalie Martin
  • Artificial intelligence workflow quantifying muscle features on Hematoxylin–Eosin stained sections reveals dystrophic phenotype amelioration upon treatment
    Nature Scientific Reports
    Marie Reinbigler, Jérémie Cosette, Zoheir Guesmia, Simon Jimenez, Catalin Fetita, Elisabeth Brunet & Daniel Stockholm

Curriculum

  • Research engineer at Resilio January 2026 - now
  • PhD Research Internship at Adobe Research March 2024 - August 2024
    Advisor: Rosalie Martin
  • PhD Candidate at IP Paris 2021 - 2025
    Member of the Parallel and Distributed Systems Group
    Advisors: Elisabeth Brunet and Prof. Catalin Fetita
  • Visiting PhD Student at EPFL 2022 - 2023
    Working with Prof. Anne-Marie Kermarrec
  • MSc at IP Paris 2020 - 2021
    High Performance Data Analytics
  • Engineering Degree at Telecom SudParis 2018 - 2021
    Ranked 1st out of 200 students

Awards & Funding

Funding:

  • IP Paris Excellence Scholarship (Hi! Paris/ANR IA) 2021

Awards

Grants

Talks & Presentations

Teaching

Lecturer

  • CSC3102: Introduction to Operating Systems
  • CSC4103: System Programming

Teaching Assistant

  • CSC3101: Algorithmics and Programming Language
  • CSC4102: Introduction to Software Engineering for Object-Oriented Applications

Service

Supervised Students

  • Achraf Sbai 2024-2025
    Project Title: Pyramidal Deep Learning-based Analysis for Multiresolution Wildfire Detection
  • Nathan Feret et Malek Hammou 2023-2024
    Project Title: Scheduling of the pyramidal analysis of multiresolution biomedical images in a frugal execution context
  • Arthur Sabin 2022-2023
    Project Title: Combining knowledge graphs and graph-based neural networks for multi-resolution biological image classification
  • Raphaëlle Thieux 2022
    Project Title: GNN on multi-resolution data - building and evaluation