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PhD in Bioinformatics. Liquid biopsy cancer detection.
I have 10+ years of experience solving challenging problems through software development and machine learning. I primarily work in Python, Rust, and R, and my open source R packages have been downloaded more than 600,000 times [https://github.com/LudvigOlsen]. In my research, I build software for multi-cancer detection from cell-free DNA liquid biopsies. I developed LIONHEART, a model for cross-dataset pan-cancer detection [https://www.nature.com/articles/s41467-025-66503-3]. I am motivated by solving high-impact problems that draw on my strengths, expand my skill set, and leave room for creative problem-solving.
Aarhus University
PhD, Bioinformatics
September 1, 2021 – March 1, 2025
Aarhus University
Master of Science - MSc, Cognitive Science
September 1, 2019 – June 1, 2021
Aarhus University
Bachelor of Science - BSc, Cognitive Science
January 1, 2015 – January 1, 2018
Sonic College
Bachelor's degree, Sound design
January 1, 2013 – January 1, 2014
Engelsholm Højskole
Elektronisk musik og sangskrivning
August 1, 2012 – June 1, 2013
Hansenberg
HTX, Kommunikation og IT
January 1, 2008 – January 1, 2011
Dept. of Molecular Medicine, Aarhus University Hospital
Postdoctoral Researcher
December 1, 2024 – Present
On-site
Genome Institute of Singapore
PHD Student - Research Stay
February 1, 2023 – July 1, 2023
Singapore, Singapore · On-site
Dept. of Molecular Medicine, Aarhus University Hospital
PHD Student
August 1, 2021 – November 1, 2024
On-site
Cercare Medical
Machine Learning Specialist
January 1, 2021 – June 1, 2021
Aarhus, Middle Jutland, Denmark
Cercare Medical
Machine Learning Intern
September 1, 2020 – December 1, 2020
Aarhus, Middle Jutland, Denmark
UNSILO
Machine Learning Researcher
June 1, 2017 – July 1, 2018
Aarhus DK
Engelsholm Højskole
Web Designer
June 1, 2013 – March 1, 2014
Engelsholm Højskole
Højskoleelev
August 1, 2012 – June 1, 2013
Designbørnehuset Sanseslottet
Pædagogmedhjælper
November 1, 2011 – January 1, 2012
Vonsild, Kolding, Denmark
Radikal Ungdom
Forretningsudvalgsmedlem og Kampagneansvarlig
May 1, 2011 – October 1, 2011
Rust Programming: The Complete Developer's Guide
Zero To Mastery Academy
June 24, 2026 – Present
Deep Learning A-Z: Hands-on Artificial Neural Networks
Udemy
June 24, 2026 – Present
Developing Innovative Ideas for New Companies: The First Step in Entrepreneurship
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily academic and research-focused, primarily in bioinformatics and cognitive science. While there is some industry experience (Cercare Medical, UNSILO), the overall profile leans towards scientific research rather than a typical corporate data analyst role. The diverse educational background, including sound design and web design, indicates a broad range of interests, but direct alignment with a standard 'Data Analyst' role's cultural expectations (e.g., business acumen, stakeholder communication, dashboarding) is not strongly evident from the provided data. The target role 'Data Analyst' might be a mismatch for the candidate's deep research expertise.
Soft Skills & Operational Fit
The candidate's experience in research and academic settings suggests strong analytical thinking, problem-solving, and independent work capabilities. The description of building machine learning infrastructure and working in a team at Cercare Medical indicates some operational fit, but further details on collaboration and project management are limited.