Silvia Sellán
Assistant Professor at Columbia University
New York, New York, United States
Summary
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Senior🎓
Top SchoolSilvia Sellán is an Assistant Professor at Columbia University and a research scientist specializing in computer graphics and geometry processing, with an academic foundation in mathematics and physics. Over eight years she progressed from doctoral work at the University of Toronto through a postdoc at MIT, blending rigorous theory with practical algorithm development. Her contributions to open-source geometry tooling include enhancements to the widely used gptoolbox—improving ADMM tolerances, adding a Metropolis-Hastings sampler and quadtree support—demonstrating attention to both numerical robustness and sampling functionality. She has industry research experience from two Adobe internships, translating academic ideas into applied problems. Based in New York, she brings a multidisciplinary perspective that connects mathematical rigor, physical intuition, and software craftsmanship. Colleagues describe her work as focused on making advanced geometric methods reliable and usable in real code bases.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree Mathematics, Bachelor's degree Mathematics at Universidad de OviedoDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Toronto
English, Spanish, German, Esperanto
Github Skills (6)
algorithms10
matlab10
geometry-processing10
optimization9
mesh-processing9
cmake8
Programming languages (8)
Github contributions (5)
alecjacobson/gptoolbox
Sep 2020 - Jul 2022
Matlab toolbox for Geometry Processing.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 8 PRs in 1 year 10 months
Contributions summary:Silvia contributed to the development of the geometry processing toolbox by implementing and enhancing core functionalities. They exposed and modified tolerances within the ADMM algorithm, a key component for optimization. The user also added features like a Metropolis-Hastings sampler and quadtree functionality. Furthermore, they fixed imports and updated MATLAB version information within the build configuration.
geometry-processingmatlab
sgsellan/developability-of-heightfields
Jul 2020 - Jun 2021
Public code release for "Developability of Heightfields via Rank Minimization", presented at SIGGRAPH 2020 and authored by Silvia Sellán, Noam Aigerman and Alec Jacobson
Contributions:29 commits, 9 pushes, 1 comment in 11 months
siggraph
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