Lucas Bourneuf

Github Blog Links

Education

2016-2019 (expected)

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

Thesis title: Justifiable graph decomposition to assist biological network understanding Supervisor: Dr Jacques Nicolas

2014-2016

Master Bioinformatique et Génomique; Université de Rennes 1 (rank=3/36)

2011-2014

Licence informatique; Université du Maine (Le Mans) (rank=1/24)

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. links: publication, software.
ICFCA 2017: Int. 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. link.

Blog articles

popularization, opinions, project presentation

Teaching

git, python and java (master’s degree) (2015-2017)

network (bachelor’s degree) (2017)

Movie

Participation to & organization of Science-en-Cour[t]s (2017, 2018)

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—2017: Participant to Hackathon Les 24h du code at Le Mans. rank=1 in 2017.
2014: Congress host at the CIGRÉ (international congress on electricity transport).

Thesis related repositories: biseau: Implementation of a generalist model builder — Python, ASP; PowerGrASP: Power Graph compression implementation — Python, ASP; BubbleTools: Power Graph programmatic handling — Python; navicept: Implementation of ASP-based lattice navigation in GUI — Python, ASP; Clyngor: Embedding of ASP in Python — Python, ASP; rofetta: Convertion between the main contexts encoding of FCA — Python
Side projects: linear-choosens: efficient implementation of random selection of n elements in m — Python; Weldon: Programming education helper — Python; bfia: Meta-meta-heuristic validates unit tests with brainfuck — Python, C; graffunc: Graph of function — Python; ACCC: Compiler of whatever to whatever — Python; pydelaunator: Delaunay triangulation with robust geometry — Python, C; NeuralWorld: Binary neural networks simulation — Python, ASP; gravastre: N-Body simulation — C++, Qt, SPARQL; pynclose: Wrapper for nclose concept enumeration algorithm — Python, C; constellations in 3D: automatic 3D visualizations of constellations — Python, gnuplot; gerobust: Wrapper for robust geometry — Python, C