Simon L.

Background

About Simon L.

I am a founding AI engineer at Phacet, working on building a platform that powers automation in services through well-crafted AI agents. I graduated in machine-learning from MVA (ENS Paris-Saclay), in engineering from Ecole des Ponts, and in Economics from Georgetown University. Just before joining Phacet, I worked on computational and structural econometrics and their applications to problems in gender/family economics. I have previous research experience and industry experience in machine-learning. In my previous industry roles, I have experience in product-oriented data science (SaaS, government digital services) and in statistical tools for causal inference and recommendation. As a data scientist, I was involved in the application of data science to challenges in the public sector. I implemented an end-to-end ML pipeline for building a knowledge graph from a stream of free text, including NER, entity deduplication and indexation. I also have experience in SaaS, having worked as a product-oriented, customer-facing data scientist. I implemented product customisations involving ML features for a SaaS provider. During my research experience, I focused on representation learning and computational economics. Most recently in computational economics, I focused on using neural nets to solve high-dimensional dynamic problems, and on a range of models in gender economics where computing equilibria requires innovative computational methods.