Luca Costabello
Research Scientist at Accenture
Dublin, Dublin 1, Ireland
Summary
🤩
Rockstar🎓
Top SchoolLuca Costabello is a research scientist with 13 years of experience applying graph machine learning, knowledge graphs, and explainable AI to healthcare, pharma, and web-scale linked data. Based at Accenture Labs Dublin, he leads BioInnovation R&D and defines research roadmaps that translate graph ML and interpretable models into industry-impacting solutions. His background spans academic PhD work at Inria to applied roles at Fujitsu and Telecom Italia, where he built analytics platforms, anti-spam systems for structured data, and link-prediction models. An active open-source contributor, he has helped harden AmpliGraph by simplifying dependencies and improving build processes, reflecting a pragmatic focus on reproducible research and production readiness. Known for mining patterns in knowledge graphs, he blends deep algorithmic insight with hands-on engineering and DevOps to move prototypes into real-world deployments.
12 years of coding experience
7 years of employment as a software developer
Doctoral School, Computer Science, Doctoral School, Computer Science at Université de Nice-Sophia AntipolisII Level Specializing Master, Innovation of Networks and Services in the ICT Sector, II Level Specializing Master, Innovation of Networks and Services in the ICT Sector at Politecnico di Torino
English, Italian, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
dependency-management10
python9
build-system9
knowledge-graph9
tensorflow7
Programming languages (2)
Github contributions (5)
Accenture/AmpliGraph
Feb 2019 - Aug 2022
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:12 releases, 345 commits, 7 PRs in 3 years 6 months
Contributions summary:Luca's commits primarily focused on removing dependencies and making changes to the codebase. Specifically, the user removed HDT support across multiple files within the datasets directory. Additionally, the user modified build scripts, including the jenkins.sh and setup.py files, indicating involvement in build process and dependency management. Furthermore, the commits indicate a general effort in cleaning the codebase.
python-libraryrepresentationpythonknowledgerepresentation-learning
lukostaz/prissma-studio
Dec 2014 - Jan 2016
Contributions:47 commits, 12 pushes, 1 branch in 1 year 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.