Teemu Tyni
Assistant Professor at University of Oulu
Old Toronto, Ontario, Finland
Summary
🤩
Rockstar🎓
Top SchoolTeemu Tyni is an applied mathematician and Assistant Professor with 14 years of experience specializing in inverse problems, scattering theory and nonlinear partial differential equations on manifolds, complemented by practical numerical implementations. He leads a research group at the University of Oulu developing robust computational algorithms for elliptic and hyperbolic PDE inverse problems and has held postdoctoral positions at Helsinki and the University of Toronto where he also taught calculus. His work bridges deep theoretical stability estimates and hands-on solver engineering, including contributions to geometry-processing toolkits for mesh manipulation and low-level numerical optimization. Comfortable moving between analysis and code, he brings proven experience turning abstract mathematical results into reliable computational tools used in applied and geophysical contexts.
15 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at University of Oulu
Stackoverflow
6,154reputation
948kreached
47answers
73questions
matlab
top-5%
Github Skills (29)
algorithms10
matlab10
computational-geometry10
linear-algebra10
sparse-array9
sparse-file9
sparse-matrix9
triangulation9
data-structures8
optimization8
data-structure8
optimisation8
optmization8
performance-optimization8
numerical-methods8
Programming languages (20)
Github contributions (5)
alecjacobson/gptoolbox
Sep 2011 - Jan 2023
Matlab toolbox for Geometry Processing.
Role in this project:
Back-end Developer & Geometry Processing Engineer
Back-end Developer & Geometry Processing EngineerContributions:3 reviews, 1316 commits, 41 PRs in 11 years 6 months
Contributions summary:Teemu appears to be a developer heavily involved in a geometry processing toolbox. They demonstrated proficiency in core mathematical operations like matrix calculations and operations on meshes. They worked on low-level geometry processing algorithms and implemented algorithms related to mesh manipulation, particularly those handling triangles and quads. The user consistently addressed bugs, implemented optimizations, and incorporated updates to functions related to mesh manipulation, including boundary processing and coordinate calculations.
geometry-processingmatlab
alecjacobson/TetWild
Jun 2018 - Apr 2021
Robust Tetrahedral Meshing in the Wild.
Contributions:2 PRs, 3 pushes in 2 years 11 months
pythonreinforcement-learningwildsiggraphtetrahedral-meshing
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