Thomas Lartigue - Quantitative Researcher

Thomas Lartigue

Quantitative Researcher

London, England, United Kingdom

Join Prog.AI to see contacts

Summary

🤩

Rockstar

🎓

Top School

Thomas Lartigue is a quantitative researcher with 17 years of experience combining rigorous applied mathematics and machine learning to solve real-world problems in trading and biomedical research. Trained at Lycée Louis-le-Grand, École Polytechnique and ENS Paris-Saclay, he completed a PhD on constrained mixtures of Gaussian graphical models and transitioned from academic research at DZNE to applied quant work at Jump Trading. He has a track record of translating advanced statistical methods into production—applying ML to trading strategies and improving trading pipelines—while also teaching computational statistics and Python to engineering students. His open-source contributions span QA and backend work across notable projects like the official ECMAScript test suite and OpenStreetMap, reflecting a hands-on, detail-oriented engineering practice beyond pure research. Based in London, he blends deep theoretical grounding with pragmatic coding and product sensibility, comfortable moving between research prototypes and robust production systems. An interesting detail: alongside high-level probabilistic modeling he has directly contributed fixes and feature-flag updates to major community projects, demonstrating both domain breadth and operational discipline.

17 years of coding experience

1 year of employment as a software developer

M2 Mathématiques, Vision, Apprentissage (MVA), Applied Mathematics, M2 Mathématiques, Vision, Apprentissage (MVA), Applied Mathematics at ENS Paris-Saclay

Baccalauréat Scientifique mention Très Bien, Science, Baccalauréat Scientifique mention Très Bien, Science at Lycée André Malraux

Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at École Polytechnique

Classes Préparatoires MPSI / MP*, Classes Préparatoires MPSI / MP* at Lycée Louis-le-Grand

French, English, Spanish, Italian

Github Skills (23)

ruby-rails10

javascript10

gitlab-api10

api-design10

testing10

rails10

ruby10

rails-app10

bibtex10

jekyll10

tca10

tcc10

rest-api10

plugin9

gitlab-ci9

Programming languages (19)

JavaC++CCoqMakefileTeXHTMLTypeScript

Github contributions (5)

NARKOZ/gitlab

Apr 2016 - Apr 2017

Ruby wrapper and CLI for the GitLab REST API

Role in this project:

Back-end Developer & API Developer

Contributions:6 commits, 3 PRs, 6 comments in 1 year

Contributions summary:Thomas primarily contributed to the GitLab REST API wrapper, focusing on extending and enhancing its functionality. Their work involved implementing new API endpoints for features such as build triggers and build variables, and adding methods for new API calls. The commits demonstrate the user's proficiency in understanding and integrating with the GitLab API to provide a comprehensive Ruby client. Additionally, the user corrected a typo in the endpoint URL, highlighting their attention to detail.

ruby-wrappergitlab-apiapiruby-gemgitlab-cli

inukshuk/jekyll-scholar

Feb 2016 - Jun 2017

jekyll extensions for the blogging scholar

Role in this project:

Back-end Developer

Contributions:13 commits, 4 PRs, 6 pushes in 1 year 5 months

Contributions summary:Thomas primarily contributed to enhancing the functionality of the Jekyll Scholar plugin. They focused on adding features like a superscript filter and options for bibliography attributes, alongside fixing bugs related to filter matching and compatibility. They also modified the bibtex converter to utilize configured filters, and refactored existing code to improve iteration.

bibliographyjekyll-plugincitationsrubyblogging

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.

Request Free Trial