roland@oslo:~/sitegit:(main)❯cat about.tsx

about

Hi! I'm Roland Sauter.

I'm a software engineer, (data) scientist, and generally a nerd based in Oslo, Norway. This is my first attempt at a personal website, so expect it to evolve over time.

These days I work at the intersection of software engineering, data science, and optimization: everything from models that save customers millions of kroner, to work processes that improve maintenance and safety, to AI integrations that inform busy engineers.

The problems I enjoy most are the ones that start out ill-defined — where the customer is not yet sure what they need, or someone else has already called it impossible. Most of what makes that work is explaining complicated things clearly and being comfortable across disciplines, languages, and cultures.

location: Oslo, Norway
education: PhD, Bioinformatics
languages: German, English, Norwegian
focus: optimization, data, AI

OptimizationData EngineeringMachine LearningDigital TwinsSystems BiologyAI and Copilot

roland@oslo:~/sitegit:(main)❯python work.py

work experience

Core skills

data scientist & software engineer with broad competences, and a fast learner

Optimization — linear, nonlinear, and integer programming on real production problems
End-to-end data science and data engineering, from pipeline to deployed model
Turning ill-defined problems into shipped systems, usually alongside the customer
Collaboration across disciplines, backgrounds, and cultures

Software Engineer → Senior → Staff Engineer

Kongsberg Digital (Falkor)

09/2021 — 08/2026

Optimization of production and planning — MEG optimization for Shell at Ormen Lange replaced a manual spreadsheet process with a nonlinear model, saving millions of kroner and powering thousands of additional UK households, and later optimization work for ADNOC
Built features across an industrial digital twin — time-series analytics, predictive maintenance, and later the platform team for generative AI
Designed the domain model and technical architecture for a fault-finding workflow, spanning configurable user personas, role-based access control, and notifications
Contributed to the integrated industrial AI copilot — answer-quality evaluation, consent and prompt analytics, and multi-modal prototypes — and built an AI-assisted inspection follow-up workflow for Vår Energi
Led multiple teams of summer interns building computer vision and RAG tooling
Ran the group's CI/CD and Kubernetes deployments on Azure using Helm
Hired and mentored many junior developers, and stood in as interim department manager
Employee representative on the board of directors (2025-2026), and Tekna representative (2022-2026)

roland@oslo:~/sitegit:(main)❯jq . stack.json

tools and technologies

My toolbox

the most important tools I'm using

Languages

PythonTypeScriptJavaScriptJuliaMatlabBashLaTeX

Data science and AI

Machine learningNonlinear optimizationInteger programmingNumPyscikit-learnPyTorchONNXLangChainLangGraphRAGLM StudioClaudeCopilot

Data engineering

MongoDBTimescaleDBInfluxDBQdrantETL / ELTStreamingData pipelines

Web

ReactNext.jsAngularExpressREST APIs

Infrastructure

DockerKubernetesHelmAzureAzure PipelinesLinuxGit

Ways of working

AgileTest-driven developmentCode reviewMentoring

roland@oslo:~/sitegit:(main)❯./projects.sh

projects

Coming soon…

The VPS this website is hosted on serves as the staging ground for some projects. Currently these are still under development.

projects/ — status

$ ls ~/vps/staging

+ project-a/ in development

+ project-b/ in development

2 directories, not yet public

roland@oslo:~/sitegit:(main)❯pdflatex science.tex

scientific background

PhD in Natural Science (Bioinformatics)

My research applied mathematical models to biology and medicine — optimization models, network analysis, and statistics over large biological datasets. Much of the work was building the pipelines to get there, and releasing them as open-source tools others could reuse.

GEMCAT

open source

A modeling tool to predict metabolite concentrations.

github.com/MolecularBioinformatics/GEMCAT →

Thesis

defended 2025

Metabolites at Genome-Scale: Towards Genome-Scale Modeling Strategies for Metabolite Concentrations — defended in 2025 at UiT The Arctic University of Norway in Tromsø.

Nasjonalt vitenarkiv →

code available on request — repo is private due to privacy concerns around some content

Publications

GEMCAT — a new algorithm for gene expression-based prediction of metabolic alterations
NAR Genomics and Bioinformatics, 2025
academic.oup.com/nargab →

Accounting for NAD Concentrations in Genome-Scale Metabolic Models Captures Important Metabolic Alterations in NAD-Depleted Systems
Metabolites, 2024
mdpi.com/journal/metabolites →

Talks

Digital Twins in Systems Medicine: Opportunities and Challenges for Genome-Scale Metabolic Models — doctoral trial lecture, UiT, 2025. A topic set by the committee, which happened to land exactly between my research and my day job.

Bridging the gap between process simulators and real data with Hybrid ML — NorwAI Innovate, 2024.

Teaching

UiT The Arctic University of Norway

I designed and taught an introductory Python and software engineering course for life scientists, at PhD and master's level. It is still running.

Research visit

Pacific Northwest National Laboratory, USA

2018

Six months as a guest researcher working on dynamic metabolic models over large datasets, and on making those computations efficient enough to be practical.

roland@oslo:~/sitegit:(main)❯less reading.md

reading

Reading that left an impression on me

I enjoy reading about different topics, from technology to history, science to philosophy. A few books have left a lasting impression on me, and I'd like to share them here.

Thank You For Arguing — Jay Heinrichs

Beyond the obvious practice of rhetoric, this book taught me to see the world through the lens of persuasion more so than as having to be right. It changed how I communicate with others and how I understand them, helping me in a critical phase of my life.

Code — Charles Petzold

My introduction to the world of computers and information technology.

Politics and the English Language — George Orwell

Probably the most useful text on writing and language I've ever read.
Read it at the Orwell Foundation →