I am a PhD candidate at IP Paris, France, working toward making AI more accessible for biology researchers and practitioners. My research interests lie at the frontier between AI, biology, and frugal computing: I hope to accelerate research in biology by lowering the (computational) resource requirement for running state of the art models and analysis techniques. Currently, I focus on the analysis of very large multi-resolution images.
Research
Curriculum
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PhD Research Internship at Adobe Research March 2024 - August 2024Advisor: Rosalie Martin
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PhD Candidate at IP Paris 2021 - ongoingMember of the Parallel and Distributed Systems GroupAdvisors: Elisabeth Brunet and Prof. Catalin Fetita
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Visiting PhD Student at EPFL 2022 - 2023Working with Prof. Anne-Marie Kermarrec
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MSc at IP Paris 2020 - 2021High Performance Data Analytics
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Engineering Degree at Telecom SudParis 2018 - 2021Ranked 1st out of 200 students
Awards & Funding
Funding:
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IP Paris Excellence Scholarship (Hi! Paris/ANR IA) 2021
Awards
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ICT4S 2025 Paper Honorable Mention 2025
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IP Paris and Paris-Saclay University Best Poster Award 2022
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Hi! Paris 2022 Poster Honorable Mention 2022
Grants
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EuroSys’23 Travel Grant 2023
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ACM Europe Summer School on HPC Sponsorship and Travel Grant 2022
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EuroPAR’22 Sponsorship 2022
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IHPCSS’22 Sponsorship 2022
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EuroSys’22 Travel Grant 2022
Talks & Presentations
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Compas’23 2023
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Myology’22 2022
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Compas’22 2022
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ASF Winter School 2022
Teaching
Lecturer
Teaching Assistant
- CSC3101: Algorithmics and Programming Language
- CSC4102: Introduction to Software Engineering for Object-Oriented Applications
Service
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EuroPAR’22 Student Volunteer 2022
Supervised Students
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Nathan Feret et Malek Hammou 2023-2024Project Title: Ordonnancement de l’analyse pyramidale d’images biologiques multi-résolution dans un contexte d’exécution frugal
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Arthur Sabin 2022-2023Project Title: Combining knowledge graphs and graph-based neural networks for multi-resolution biological image classification
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Raphaëlle Thieux 2022Project Title: GNN on multi-resolution data - building and evaluation