Simon Lebastard
Machine Learning Engineer at 🎁
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolSimon Lebastard is a machine learning engineer with a decade of experience building production-ready AI systems and research-grade computational methods. As a founding AI engineer at Phacet, he designs agent-driven automation platforms and has implemented end-to-end ML pipelines—e.g., NER, entity deduplication and knowledge-graph indexation—from streaming text. He combines rigorous academic training (MVA/ENS Paris-Saclay, École des Ponts) with a PhD-level grounding in economics from Georgetown, applied to computational and structural econometrics and gender/family economics. His work bridges representation learning and neural methods for high-dimensional dynamic problems, bringing innovative numerical approaches to equilibrium computation. He has a strong product orientation from SaaS and public-sector engagements, delivering customer-facing ML features and statistical tools for causal inference and recommendation. Based in Paris, he uniquely blends theoretical depth with hands-on engineering to turn complex economic models into scalable ML products.
10 years of coding experience
Master 2 (M2), Machine Learning (Mathématiques Vision Apprentissage), Master 2 (M2), Machine Learning (Mathématiques Vision Apprentissage) at École normale supérieure Paris-SaclayDoctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at Georgetown UniversityMaster of Science in Mathematics and Computational Engineering, Optimization, machine learning & computational vision, Master of Science in Mathematics and Computational Engineering, Optimization, machine learning & computational vision at École des Ponts ParisTech
French, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
python4
machine-learning2
benchmark2
deep-learning2
Programming languages (5)
Github contributions (5)
Brossollet-Antonin/Ultrametric-benchmark
Jan 2020 - Feb 2021
Implementation of the Ultrametric benchmark for continual learning
Contributions:174 pushes, 2 branches in 1 year
deep-learningcontinual-learningmachine-learningbenchmarkcontinual
slebastard/STDP_Pheno_CalciumSynapticPlasticity
May 2018 - Mar 2019
Contributions:120 commits, 93 pushes, 1 branch in 9 months
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