Lucas Bourneuf

Ph.D, Computer Scientist, Bioinformatician

Github     Blog     Links


Education

2016-2019

PhD, Computer Science; Université de Rennes 1, Inria, DYLISS team

A search space of graph motifs for graph compression: From Powergraphs to triplet concepts, defended on December 17, 2019, supervised by Dr Jacques Nicolas


2014-2016
Master’s degree in Bioinformatics and Genomics; Université de Rennes 1 (rank=3/36)

2011-2014
Degree in Computer Sciences; Université du Maine (Le Mans) (rank=1/24)


Scientific Publication

ICFCA 2019
International Congress on Formal Concept Analysis. L. Bourneuf, J. Nicolas ; FCA in a Logical Programming Setting for Visualization Oriented (Power) Graph Compression. publication.

FCA4AI 2018 (workshop at IJCAI/ECAI)
Formal Concept Analysis for Artificial Intelligence (acceptance rate 60%). L. Bourneuf ; An Answer Set Programming Environment for High-Level Specification and Visualization of FCA. publication, software.

ICFCA 2017
International Congress on Formal Concept Analysis (acceptance rate 30%). L. Bourneuf, J. Nicolas ; FCA in a Logical Programming Setting for Visualization Oriented (Power) Graph Compression.
Best paper award. publication.


Teaching & Science Popularization

Informal writings
Science popularization, research, project presentation, tutorial. For instance, a git tutorial and parsing advices on bioinfo-fr.net, the website of the french bioinformaticians community. I wrote an ASP tutorial in french, a tutorial to set up mail addresses with specific domain name, and modelizations of puzzles on my personal blog.

Teaching
git, python and java (master’s degree) (2015-2018)
network (bachelor’s degree) (2017)

Science popularization
Participation & organization of the science popularization festival Sciences en Courts (2017, 2018, 2019)


Professional Experience

2016-2019

Phd Student, in the DYLISS team on Formal Concept Analysis, Graph theory, and formal modeling. Supervisor: Dr Jacques Nicolas.

(details)


2016
Engineer (2 months) in the DYLISS team on formal methods applied to agronomic data. Supervisor: Dr Denis Tagu.

2015—2016
Internships (4 and 6 months) at INRIA-Bretagne in the DYLISS team on formal concept analysis, graph theory and constraint programming applied to biological data. Supervisor: Dr. Jacques Nicolas.

2012—2018
Participant to Hackathon Les 24h du code at Le Mans.
Subjects: AI, operation research, serial communication, user accessibility, network, testing. Rank=1 since 2017.

2014
Congress host at the CIGRÉ (international congress on electricity transport).


Technical Experience

Mathematics & Graph Theory
PowerGrASP: Power Graph compression implementation — Python, ASP
rofetta: Convertion between the main contexts encoding of FCA — Python
graffunc: Graph of function — Python
phasme: CLI tool to handle graph in multiple formats — Python, ASP

Modeling
biseau: Implementation of a generalist model builder — Python, ASP

Heuristic & Simulation
bfia: Meta-meta-heuristic validates unit tests with brainfuck — Python, C
NeuralWorld: Binary neural networks simulation — Python, ASP
gravastre: N-Body 2D simulation — C++, Qt, SPARQL

Language & Compilation
clyngor: Embedding of ASP in Python — Python, ASP
ACCC: Compiler of whatever to whatever — Python

Algorithmic
linear-choosens: Implementation of Vitter’s random sampling algorithm — Python
navicept: Implementation of ASP-based lattice navigation with GUI — Python, ASP
pynclose: Wrapper for nclose concept enumeration algorithm — Python, C