Curriculum Vitae
For a downloadable version of this CV, go to cv.danielroelfs.com
Work Experience
Storebrand - Digital - Analytics & AI feb 2026 - current
Data Scientist
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Data science projects across various departments in the group
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Implementing robust machine learning and (generative) AI models for various use cases
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Using (among others) Databricks, Snowflake, Dagster, and accompanying best practices
DNB - Group Security - Group AML aug 2022 - jan 2026
Data Scientist
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Data scientist in the Anti-Money Laundering Group at DNB
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Creating machine learning models using Python, R, and AWS cloud services and putting models in production
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Application of responsible data science practices in both development and deployment
University of Oslo - NORMENT - Multimodal Imaging Group mar 2019 - jul 2022
Doctoral Research Fellow
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PhD position on neuroimaging and genetics
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Running a study from conception through writing the final manuscript
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Writing scripts and pipelines in R, Python, and MATLAB all code is available on GitHub
University of Oslo - NORMENT - EEG Group may 2018 - feb 2019
Research Assistant
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Managing EEG data, data preprocessing and analysis, training new EEG testers, performing EEG experiments
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Maintaining and adapting preprocessing pipelines for EEG data
Rikshospitalet - Department of Medical Physics may 2018 - feb 2019
Research Assistant
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Data collection, managment, and processing in an MRI study on sleep deprivation
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Preprocessing and analyzing the imaging data and preparing datasets for collaborators
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Processing and analyzing of data from the video camera
Education
University of Oslo - Faculty of Clinical Medicine mar 2019 - jul 2022
PhD, Doctoral Education
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Doctoral education at the Institute of Clinical Medicine at the University of Oslo thesis available online here
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Courses relevant to neurobiology, advanced statistics, and other academic and non-academic skills
Lund University - Faculty of Medicine sep 2016 - may 2018
MSc, Biomedicine
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Master’s program in Biomedicine at the Faculty of Medicine
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Focus on molecular biology and neuroscience
Utrecht University - University College Roosevelt sep 2012 - may 2015
BSc, pre-medical track
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Major in the pre-medical science track, minor in philosophy
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Liberal Arts & Science program
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Honors College
Skills & Languages
Daily use of Python, R, SQL (various dialects), bash, AWS, Databricks, Snowflake, Git, and common packages and module. Experience also with MATLAB, LaTeX, HTML/CSS. Have previously worked with Google Cloud, SLURM. some of these skills are documented on GitHub also
In addition, I’m familiar with common data science and data engineering frameworks including but not limited to Shiny, Flask, Streamlit, MLFlow, Airflow, dbt, Docker, Snowflake, AWS, LangChain, and various other common tools.
Awards
ECIP Oral Finalist 2021
World Congress of Psychiatry Genetics
Awarded to promising oral presentations from early-career researchers
International Training Grant 2019
Norwegian Research School in Neuroscience
Grant awarded to scientists to receive training abroad that’ll benefit their research in Norway
Sparbanken Skåne Master Prize 2019
Sparbanksstiftelsen Färs & Frosta, Lund University
Awarded to the best master theses in the field of neuroscience
Commissions
DNB Data Science Meetup oct 2023 - dec 2024
Committee Member
Norwegian Research School in Neuroscience sep 2019 - may 2021
Committee Member
Organization of the national conference for neuroscience PhD candidates
The Netherlands Red Cross Student Desk Zeeland jan 2014 - may 2015
General Board Member (Fundraising portfolio)
Portfolio
Bilkollektivet Trip Cost Calculator
Introduction To Basic Statistics in R
Publications
See the publications page, ORCID or my Google Scholar profile