Erwann Bernier · Data Visualisation Engineer

About

With 5+ years of experience, I build high-performance web libraries using applied mathematics, rendering optimization and GPGPU techniques, enabling smooth real-time exploration of large datasets used by banks, governments and other organizations worldwide.

Experience

Data Visualisation Engineer at Linkurious

Oct 2022 – Present

Develop a high-performance browser library for interactive graph visualization.
Read recent GPGPU papers, from NVIDIA Research and academia, then adapt and implement these approaches in production code.
Design and refine mathematical formulas and algorithms for parallel execution, rendering performance and smooth real-time interaction.

Papers I've implemented in WebGL2 / WebGPU

A Fast Adaptive Multipole Algorithm for Particle SimulationsCarrier, Greengard & Rokhlin, 1988All-pairs n-body forces in $O (n)$ , the core of large force-directed layouts.
Maximizing Parallelism in the Construction of BVHs, Octrees, and k-d TreesKarras, NVIDIA Research, 2012Parallel radix tree construction from SFC-sorted points in a single pass.
A Novel Sorting Algorithm for Many-Core Architectures based on Adaptive Bitonic SortPeters, Schulz-Hildebrandt & Luttenberger, 2012Optimal $O (n lo g n)$ GPU sort through interval-based rearrangement (IBR).
Shape Decomposition for Multi-channel Distance FieldsChlumský, CTU Prague, 2015Fast shape rendering by evaluating the median of three bilinearly interpolated distance fields.

WebGL2 MSDF: glyph atlas generated and rendered in the browser, with corners that stay sharp at any scale.

Chart of WebGL2 sort time per element: IBR stays near 20 ns while Batcher's network climbs to 70–115 ns — WebGL2 Sort: for large arrays, optimal IBR sort (red) runs 4× faster than the conventional suboptimal sort (blue).

Software Engineer Intern at Linkurious

Sep 2020 – Aug 2022

Built an in-browser code editor to build and test the graph visualization library live, used for customer support, issue reproduction and sales/tech demos.

Education

Engineering Degree, Digital Engineering / Computer Science at EPF Engineering School

2022

Software engineering, web technologies, data structures and algorithms, mathematics.

Preparatory Classes for Grandes Écoles: Maths, Physics, CS at Lycée Georges Clemenceau

2019

MPSI, MP★: Intensive two-year program for competitive engineering-school entrance exams.

Skills

WebGPU
WebGL2
WGSL
GLSL
GPGPU
Parallel computing
High-performance computing
Applied mathematics
TypeScript
Web development
Big data
Financial data
Fraud detection

Languages

French · English (TOEIC 835, TOEFL ITP 543)