Nicolas Chaulet
CTO at Principia Labs Ltd
Arlington, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolNicolas Chaulet is a CTO and founder with 12 years of engineering experience and a PhD in computational and applied mathematics, focused on building tools that decarbonize the built environment. He has led R&D and product engineering teams across PropTech and AEC, shipping geometry- and point-cloud-driven solutions—from 3D digital twin pipelines to design automation and furniture shopping directly from floor plans. A long-time geometry and ML practitioner, Nicolas has contributed C++ and Python implementations to major open-source projects like Open3D and PDAL, improving point-cloud outlier removal and cloud storage support. He blends deep mathematical rigor with hands-on systems development, having moved research code into production repeatedly, and often bridges academia and product teams to translate advanced algorithms into usable software. Based in Arlington, MA, he now focuses on climate-positive architecture tooling and continues to invent at the intersection of computational design, machine learning, and scalable backend systems.
12 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Computational and Applied Mathematics, Doctor of Philosophy (PhD), Computational and Applied Mathematics at École PolytechniqueMaster of Science (M.Sc.), Mathematical Engineering, Master of Science (M.Sc.), Mathematical Engineering at ENSTA-ParistechMaster of Science (M.Sc.), Mathematics, Master of Science (M.Sc.), Mathematics at Pierre and Marie Curie University
French, English, Spanish
Github Skills (23)
pytorch10
c-language10
python10
machine-learning10
deep-learning10
filter10
openssl10
3d10
cpp10
cprogramming-language10
point-cloud10
architecture9
data-structure9
algorithm9
algorithms9
Programming languages (10)
Github contributions (5)
torch-points3d/torch-points3d
Dec 2019 - Jan 2022
Pytorch framework for doing deep learning on point clouds.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:18 releases, 89 reviews, 677 commits in 2 years 1 month
Contributions summary:Nicolas's contributions focused on enhancing the functionality and capabilities of the deep learning framework for point clouds. They implemented several improvements to the core modules, including the addition of a novel spatial operation module and the introduction of a flexible scorer. The user also made improvements to the infrastructure and integrated various data augmentation and feature extraction. They also incorporated the code from a related research paper into the project.
pytorchscannetpytorch-frameworkpoint-cloudss3dis
PDAL/PDAL
Jan 2019 - Nov 2019
PDAL is Point Data Abstraction Library. GDAL for point cloud data.
Role in this project:Back-end Developer
Back-end DeveloperContributions:1 review, 17 commits, 17 PRs in 10 months
Contributions summary:Nicolas's contributions primarily involve enhancing the PDAL library, focusing on adding features and improving existing functionality. They implemented support for Google Cloud Storage (GCS) by integrating OpenSSL for authentication and added a raw filter. Further work involved multi-threading support for the filter, refactoring code, and renaming a filter. The user also contributed to adding and updating documentation.
point-cloudabstraction-librarypointgdaldata-abstraction
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