Petri Laarne
Postdoctoral Researcher at University of Helsinki
Finland
Summary
👤
Senior🎓
Top SchoolPetri Laarne is a postdoctoral researcher in mathematics at the University of Helsinki with 11 years of experience spanning stochastic analysis, statistics, software engineering, and science communication. His academic work focuses on stochastic PDEs and mathematical physics, built on a PhD and an MSc in mathematics and statistics. He pairs rigorous theoretical research with practical software skills, having contributed to production-grade projects like the cross-platform MonoGame framework where he improved rendering, audio, and testing. Petri has a track record of building reproducible teaching and evaluation tools (Moodle/STACK) and applying information-theoretic methods to atmospheric data, demonstrating an unusual blend of pure math, applied statistics, and engineering. Based in Finland, he brings both deep analytical thinking and hands-on implementation experience to interdisciplinary problems.
11 years of coding experience
6 years of employment as a software developer
Open University studies, Computer Science, Open University studies, Computer Science at University of Tampere 1925-2018Ylioppilas, Ylioppilas at Tampereen klassillinen lukioDoctor of Philosophy, Mathematics, Doctor of Philosophy, Mathematics at University of Helsinki
Stackoverflow
421reputation
6kreached
17answers
0questions
Github Skills (20)
game-engine10
cross-platform10
graphic10
dotnet-core10
csharp10
game-dev9
dotnet9
dotnet-new9
3d9
game-development9
playframework9
xna7
openal7
framerate6
fbx6
Programming languages (5)
Github contributions (5)
MonoGame/MonoGame
Sep 2014 - Mar 2017
One framework for creating powerful cross-platform games.
Role in this project:
Software Engineer (likely focused on game framework/engine development)
Software Engineer (likely focused on game framework/engine development)Contributions:28 commits, 11 PRs, 79 comments in 2 years 6 months
Contributions summary:Petri contributed to the MonoGame framework by implementing several features and addressing bugs related to rendering and audio. Their work included optimizing texture sorting, implementing IComparable for Texture, making the sorting key internal, and improving the handling of sound initialization and updates within the framework's core components. The user also fixed test regressions and added additional testing for Vector2 transformations, and incorporated the FrameworkDispatcher to the build. These changes suggest a focus on improving the stability and functionality of the cross-platform game framework.
c-sharpgame-frameworkopenalgamesgame-engine
polsys/ennemi
Feb 2020 - Jan 2023
Easy Nearest Neighbor Estimation of Mutual Information
Contributions:14 releases, 1 review, 194 commits in 2 years 11 months
information-theoryentropypythonnearest-neighbornearest
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