Curriculum Vitae

For a downloadable version of this CV, go to cv.danielroelfs.com

Work Experience

DNB - Group Security - Group AML 2022 - current

Data Scientist

Data scientist in the Anti-Money Laundering Group at DNB
Creating machine learning models using Python, R, and AWS cloud services and putting models in production
Application of responsible data science practices in both development and deployment

University of Oslo - NORMENT - Multimodal Imaging Group 2019 - 22

Doctoral Research Fellow

PhD position on neuroimaging and genetics
Running a study from conception through writing the final manuscript
Writing scripts and pipelines in R, Python, and MATLAB⊕ all code is available on GitHub

University of Oslo - NORMENT - EEG Group 2018 - 19

Research Assistant

Managing EEG data, data preprocessing and analysis, training new EEG testers, performing EEG experiments
Maintaining and adapting preprocessing pipelines for EEG data

Rikshospitalet - Department of Medical Physics 2018 - 19

Research Assistant

Data collection, managment, and processing in an MRI study on sleep deprivation
Preprocessing and analyzing the imaging data and preparing datasets for collaborators
Processing and analyzing of data from the video camera

Education

University of Oslo - Faculty of Clinical Medicine 2019 - 22

PhD, Doctoral Education

Doctoral education at the Institute of Clinical Medicine at the University of Oslo⊕ thesis available online here
Courses relevant to neurobiology, advanced statistics, and other academic and non-academic skills

Lund University - Faculty of Medicine 2016 - 18

MSc, Biomedicine

Master’s program in Biomedicine at the Faculty of Medicine
Focus on molecular biology and neuroscience

Utrecht University - University College Roosevelt 2012 - 15

BSc, pre-medical track

Major in the pre-medical science track, minor in philosophy
Liberal Arts & Science program
Honors College

Skills & Languages

Daily use of Python, R, SQL (various dialects), bash, AWS, 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.