Martin Tveten
Seniorforsker at Norsk Regnesentral
Oslo, Norway
Summary
👤
Senior🎓
Top SchoolMartin Tveten is a senior researcher based in Oslo with 8 years of experience specializing in time series analysis, changepoint and anomaly detection, and streaming data for industrial applications. At Norsk Regnesentral he develops practical, production-ready methods and maintains skchange, a fast Python library for changepoint and collective anomaly detection. He holds advanced training in modelling and data analysis from the University of Oslo and completed a PhD there, combining strong mathematical foundations with applied engineering. Martin’s background also includes leadership and operational experience running large volunteer organisations and managing multimillion-kroner budgets, which informs his pragmatic, impact-focused approach to research and deployment.
8 years of coding experience
Master's degree, Modellering og dataanalyse, Master's degree, Modellering og dataanalyse at Universitetet i Oslo (UiO)Bachelor's degree, Matematikk, informatikk og teknologi, Bachelor's degree, Matematikk, informatikk og teknologi at Universitetet i Oslo / University of Oslo (UiO)
Github Skills (27)
anomaly-detection10
data-mining10
forecasting10
asymmetric10
r-package9
kernel-density9
machine-learning9
time-series9
scikit-learn9
ai9
density-estimation9
change-detection9
streaming8
statistics8
data-science8
Programming languages (3)
Github contributions (5)
NorskRegnesentral/skchange
Dec 2023 - Mar 2025
skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
Contributions:9 releases, 24 reviews, 75 PRs in 1 year 3 months
anomaly-detectionchange-detectionmachine-learningstatisticstime-series-segmentation
Tveten/capacc
Sep 2019 - Feb 2021
Contributions:246 commits, 11 pushes in 1 year 5 months
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