Riku Huttunen
Doctoral Researcher at University of Eastern Finland
Finland
Summary
👤
Senior🎓
Top SchoolRiku Huttunen is a doctoral researcher and machine learning practitioner based in Finland with a decade of experience spanning academia, startups, and consultancy. He develops deep learning methods for reliable, automated diagnostics of obstructive sleep apnea while pursuing research interests in domain-agnostic ML, generative modeling, and probabilistic inference. His background as a co-founder focused on signal processing and roles as a data scientist and developer give him practical experience taking algorithms from prototype to product. Riku combines hands-on software and data-science skills with rigorous research, aiming for simple, effective solutions to noisy biomedical data problems. Colleagues describe him as someone who bridges entrepreneurial pragmatism with academic rigor, often leaning on signal-processing intuition to inform modern probabilistic approaches.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Master of Science - MS at Tampere University of Technology
English, Finnish, Spanish, Swedish
Github Skills (9)
django9
orm8
django-framework8
python8
web-framework3
keras1
densenet1
deep-learning1
tensorflow1
Programming languages (1)
Github contributions (5)
UEF-SmartSleepLab/sleeplab-format
Apr 2023 - Nov 2024
Source code for transforming heterogeneous source data to a unified format
Contributions:4 releases, 3 reviews, 7 PRs in 1 year 7 months
UEF-SmartSleepLab/sleeplab-tf-dataset
Apr 2023 - Dec 2024
A tensorflow dataset reader for sleeplab format.
Contributions:2 PRs, 10 pushes, 1 branch in 1 year 7 months
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