Samuel Letellier-duchesne
Associate, Design Analytics
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolSamuel Letellier-duchesne is an Associate in Design Analytics with nine years of experience at the intersection of building science, data, and climate action, combining academic rigor from a PhD in Mechanical Engineering with hands-on performance analysis in the built environment. Currently co-founder and Head of Building Technology at Carbon Signal and a leader at Introba, he translates complex energy and district-heating models into practical design guidance and analytics for low-carbon buildings. He contributes to open-source geospatial tooling—improving OSMnx utility functions and testing—to better model street networks and spatial data, reflecting a blend of backend development and domain expertise. Comfortable moving between research (MIT postdoc), startups, and consulting, he brings a rare mix of modeling depth, field-oriented quality management experience, and product-minded execution in climate-focused tech.
9 years of coding experience
4 years of employment as a software developer
International Student Exchange Mechanical Engineering, International Student Exchange Mechanical Engineering at Czech Technical University in PragueDEC Sciences Lettres et Arts, DEC Sciences Lettres et Arts at Collège Jean-de-BrébeufDoctor of Philosophy (PhD) Mechanical Engineering, Doctor of Philosophy (PhD) Mechanical Engineering at Polytechnique Montréal
French, English
Stackoverflow
1reputation
718reached
1answer
2questions
Github Skills (11)
openstreetmap10
networkx10
geospatial10
python10
testing9
recursion6
wix6
visual-studio6
sum6
windows-installer6
tree6
Programming languages (7)
Github contributions (5)
gboeing/osmnx
Dec 2018 - Jan 2019
Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 commits, 1 PR, 12 comments in 16 days
Contributions summary:Samuel primarily contributed to the development of the `osmnx` library's utility functions. Their work included modifying existing functions, adding new functionalities such as `get_nearest_edges()` and `redistribute_vertices()`, and integrating logging for performance monitoring. Additionally, the user added tests to validate the new functionalities. These changes focus on improving the library's ability to work with street networks and spatial data.
nominatimpythonspatialvisualizemap-matching
samuelduchesne/energy-pandas
Feb 2021 - May 2022
An extension of pandas to deal with building related time series such as temperature, load and energy.
Contributions:1 release, 47 commits, 75 PRs in 1 year 2 months
pythontime-series-analysisdealdataframetemperature
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