Erik Härkönen is a PhD candidate in Computer Science at Aalto University with 11 years of software engineering experience spanning research, mobile and graphics domains. He has hands-on experience as a course assistant in advanced computer graphics and as a mobile/Android developer at RELEX Solutions, combining academic rigor with product-focused engineering. His research and implementation work includes crowdsourcing-based positioning and traffic sign detection, reflecting a practical bent toward applied ML and computer vision. An active open-source contributor, Erik has helped maintain and fix notable research code such as the NeurIPS 2020 GANSpace repository, improving reproducibility and tooling around interactive notebooks. Based in Helsinki, he blends deep academic training with pragmatic bug-fixing and licensing improvements that make research code more usable in practice. Colleagues describe him as detail-oriented and reliable, comfortable moving between research prototypes and production-ready fixes.
11 years of coding experience
3 years of employment as a software developer
Computer Science, Computer Science at Aalto University
Discovering Interpretable GAN Controls [NeurIPS 2020]
Role in this project:
ML Engineer
Contributions:24 commits, 3 PRs, 19 pushes in 1 year
Contributions summary:Erik contributed to the project by removing broken links within the code and notebooks. They also improved edit naming conventions within the notebooks. Furthermore, the user added the Apache 2 license to several notebook files and the interactive.py and estimators.py files. They also fixed a bug in the TkTorchWindow.py file, and fixed a bug that broke the pca cleanup notebook.
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