Silvia Sellán

Assistant Professor at Columbia University

New York, New York, United States
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Summary

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Silvia 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.
code8 years of coding experience
job1 year of employment as a software developer
bookBachelor's degree Mathematics, Bachelor's degree Mathematics at Universidad de Oviedo
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Toronto
languagesEnglish, Spanish, German, Esperanto
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Github Skills (6)

algorithms10
matlab10
geometry-processing10
optimization9
mesh-processing9
cmake8

Programming languages (7)

CSSC++ForthJavaScriptHTMLMATLABPython

Github contributions (5)

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alecjacobson/gptoolbox

Sep 2020 - Jul 2022

Matlab toolbox for Geometry Processing.
Role in this project:
userBack-end Developer
Contributions:8 commits, 7 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.
matlab-toolboxmatlabtoolboxgeometry-processinggeometry
Implementation of the local remesher from "A Remeshing Approach to Multiresolution Modeling" by M. Botsch and L. Kobbelt, to work with the libigl geometry processing library
Contributions:35 commits, 2 PRs, 23 pushes in 2 years 1 month
remesherlibiglapproachgeometry-processingprocessing-library
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Silvia Sellán - Assistant Professor at Columbia University