I am interested in information visualization, network visual analysis, and interactions. I am especially interested in designing scalable techniques or systems that enable interactive exploration of large or complex datasets.
Short CV
- Postdoctoral Researcher, Inria, AVIZ / Université Paris-Saclay, LISN (12/2019 — 05/2022)
- Advised by Jean-Daniel Fekete
- Ph.D. in Computer Science, LaBRI / Université de Bordeaux (09/2016 — 11/2019)
- Thesis: “Passage à l’échelle pour la visualisation interactive exploratoire de données : approches par abstraction et par déformation spatiale” [French] (English: “Addressing scaling challenges in interactive exploratory visualization with abstraction and spatial distortion”)
- Advised by David Auber and Romain Bourqui
- MSc in Computer Science at ENSEIRB-Matméca with Honors (2012 – 2015)
More here (PDF).
News
2020-10-26 | Our entry for the VAST Challenge 2020 Mini-Challenge 1 received an award. Take a look at the entry here. |
2019-11-26 | I defended my thesis (manuscript). |
2019-07-04 | An extended version of our hierarchical parallel coordinate paper was accepted by the Big Data Research journal. |
2019-04-20 | PacificVis 2019: trip to Bangkok, Thailand to present CorFish. |
2018-10-07 | Dagstuhl Seminar on Progressive Data Analysis and Visualization, Germany. |
Recent publications
VAST 2020 Contest Challenge: GraphMatchMaker: Visual Analytics for Graph Comparison and Matching
IEEE Computer Graphics and Applications, 2021
HiePaCo: Scalable hierarchical exploration in abstract parallel coordinates under budget constraints
Big Data Research, 2019
CorFish: Coordinating Emphasis Across Multiple Views Using Spatial Distortion
2019 IEEE Pacific Visualization Symposium (PacificVis), 2019
Projects

GraphletMatchMaker
Set of tools developed as part of our submission to the Visual Analytics Science and Technology (VAST) Challenge 2020 (Mini Challenge 1).

LonGenEx (DALIA)
Visual exploration tool for longitudinal gene expression data from vaccine trials

CoPHI
Interactive web application based on abstract parallel coordinates for exploring multidimensional data.