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Eleanor Wiesler

My background is in robotics, ML, geometry, and simulation. I am on the founding software and physical AI team at Monumental Labs, where I work on making CNC robots autonomous.

Previously, I was a computational geometry fellow at MIT CSAIL and a visiting researcher at the OxWearables Lab. I studied Mathematics and Computer Science at Harvard, researching in the GeoML Lab and writing an honors thesis on differential geometry.

News
10/05/2026

This week my team at Monumental Labs announced the world’s first end-to-end autonomous CNC stone carving system of its kind. I co-led the effort as one of two Senior ML Engineers. Our sim-to-real is below; read more on my blog.

08/12/2026

Check out my new preprint from my work at the Harvard GeoML lab!

Figures from the GeoML lab paper: Ollivier-Ricci curvature on a directed network, ORC approximation scatter plots, and magnetic-Laplacian layer constructions.
12/02/2025

I’ll be representing Monumental Labs at NeurIPS 2025 in San Diego, please connect if you are in robotics or physical AI!

More about me

I have lived and worked on three different continents during my career thanks to generous research and engineering fellowships, including computational research positions I’ve held in Santiago, Chile and Oxford, England.

Since 2019, I’ve been contributing to published scientific research, beginning when I helped discover a molecular pathway at Yale. I also previously worked at Detect, a startup led by Hugo Barra, where I contributed to computational biology and clinical advancements for COVID-19 diagnostics.

At Harvard I was a proud member of Eliot House — go Mastodons! I’m also a jazz musician, long-distance runner, and aspiring surfer.

My goal is to be a lifelong engineering leader in the fields of robotics and physical intelligence, as I believe AI can make the most impact in our 3D environment.