Martin Berild

Data Scientist

Møre og Romsdal, Norway
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Summary

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Senior
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Top School
Martin Berild is a data scientist and PhD candidate in Spatial Statistics at NTNU with roughly a decade of applied experience blending mathematical rigor and software development. He models Gaussian random fields via stochastic differential equations, applying noisy advection-diffusion and Whittle–Matérn formulations to support decision systems for autonomous underwater vehicles and other oceanographic applications. His background in applied physics and industrial mathematics informs practical inference work—combining Monte Carlo approaches with INLA—for conditional latent Gaussian models. Martin has transitioned research into industry roles, contributing to ML solutions, anomaly detection, and production systems across startups and engineering firms. An avid climber based in Møre og Romsdal, he brings the same problem-solving persistence from steep routes to complex spatio-temporal modeling challenges.
code10 years of coding experience
bookHigh School Diploma, High School Diploma at Molde Vidregående Skole
bookNorwegian University of Science and Technology
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Stackoverflow

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1reputation
0reached
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0questions
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Github Skills (4)

temporal4
spatial3
temporal-data2
machine-learning2

Programming languages (5)

ShellRHTMLJupyter NotebookPython

Github contributions (5)

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berild/project-thesis

Sep 2019 - Aug 2020

Project thesis NTNU
Contributions:2 PRs, 98 pushes, 2 branches in 11 months
ntnuthesisthesis-project
berild/inla-mc

Feb 2021 - Jan 2022

Contributions:71 commits, 2 PRs, 28 pushes in 11 months
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Martin Berild - Data Scientist