André Vidas Olsen
Bioinformatician
Copenhagen
Overview
7
7
years of professional experience
11
11
years of post-secondary education
3
3
Languages
Work History
Postdoc
Weischenfeldt group, BRIC/Finsenlab, University of Copenhagen
11.2022 - 6 2024
- Continued work on the Pan-Prostate Cancer Group cohort (PPCG) and contributed with bioinformatics analyses to the leukemia cohort derived from The Program for Translational Hematology (PTH)
- Supervised a PhD student in one of the project aims.
PhD student
Weischenfeldt group, BRIC/Finsenlab, University of Copenhagen
11.2018 - 11.2022
- Used bioinformatics analyses on large data, primarily the Pan-Prostate Cancer Group cohort, with a focus on complex structural variants and mutational signatures for cancer diagnostics.
Research assistant/bioinformatician
Helin Group, BRIC, University of Copenhagen
03.2018 - 11.2018
- Facilitated downstream analysis of NGS data for the group members and generated bioinformatics pipelines.
Bioinformatician
Computational Biology Laboratory (Elena Papaleo) at the Danish Cancer Society Research Center (DCRC)
05.2016 - 02.2018
- Worked with analyzing RNA-seq data for different research groups
- Developed scripts for research purposes, including an R package for quantification and analysis of lipidomics data
- Supervised a Master Student and taught basic GitHub and Python programming.
Education
PhD - Molecular Mechanisms of disease
BRIC/Finsenlab, University of Copenhagen
01.2018 - 04.2022
Master of science (M.Sc.) - Bioinformatics
University of Copenhagen & Novo Nordisk Foundation Center for Basic Metabolic Research
01.2013 - 04.2016
Bachelor in science (B.Sc.) - Naturvidenskab & IT
University of Copenhagen
01.2010 - 04.2013
Skills
Experience in biological interpretation of data results
Experience in handling of large NGS data, including WGS, transcriptomics and lipidomics data
Broad understanding of mathematics and statistics and a structured and analytical mindseBr
Experience in statistical analyses including association studies, differential expression analysis, enrichment analysis, gene ontology analysis as well as different machine learning methods
Experience in biological interpretation of data results
Motivation
After reading the Sr/Lead Data Scientist job description with great interest, I can really see myself in this position. Through my work I have vast experience in working with omics data as well as developing methods to analyse large data sets. I also have both experience and a deep interest in machine learning and I have experience in supervising master’s and PhD students. All in all, I think it would be an amazing opportunity for me to be part of the AI and Analytics Team and contribute significantly with my competences and experiences in the field of bioinformatics. I hope I will get the possibility to elaborate the abovementioned qualities in a personal interview.
Publications
- Ditte E. Jæhger, Mie L. Hübbe, Martin K. Kræmer, Gael Clergeaud, André V. Olsen, et al.: “Enhancing adoptive CD8 T cell therapy by systemic delivery of tumor associated antigens”. Scientific Reports (Accepted)
- Swantje Christin Häger, Catarina Dias, Stine Lauritzen Sønder, André Vidas Olsen, et al.: “Short-term transcriptomic response to plasma membrane injury”. Scientific Reports (Accepted)
- Rui Lopes, Kathleen Sprouffske, Caibin Sheng, Esther C. H. Uijttewaal, Adriana Emma Wesdorp, Jan Dahinden, Simon Wengert, Juan Diaz-Miyar, Umut Yildiz, Melusine Bleu, Verena Apfel, Fanny Mermet-Meillon, Rok Krese, Mathias Eder, André Vidas Olsen, et al.: ”Systematic dissection of transcriptional regulatory networks by genome-scale and single-cell CRISPR screens”. Science Advances 2021
- Antonio Colaprico, Catharina Olsen, Matthew H. Bailey, Gabriel J. Odom, Thilde Terkelsen, Tiago C. Silva, André V. Olsen et al.: “Interpreting pathways to discover cancer driver genes with Moonlight”. Nature Communications 2020
- Inger Ødum Nielsen, André Vidas Olsen, et al.: “Comprehensive Evaluation of a Quantitative Shotgun Lipidomics Platform for Mammalian Sample Analysis on a High-Resolution Mass Spectrometer”. Journal of the American Society for Mass Spectrometry 2020.
- Antonio Colaprico, Catharina Olsen, Claudia Cava, Thilde Terkelsen, Tiago C. Silva, André Olsen, et al.: “Moonlight: a tool for biological interpretation and driver genes discovery”. bioRxiv. 2018.
- Mads Nygaard, Thilde Terkelsen, André Vidas Olsen, et al.: “The Mutational Landscape of the Oncogenic MZF1 SCAN Domain in Cancer”. Front Mol Biosci. 2016; 3: 78.
Music (Bass player)
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Timeline
Postdoc
Weischenfeldt group, BRIC/Finsenlab, University of Copenhagen
11.2022 - 6 2024
PhD student
Weischenfeldt group, BRIC/Finsenlab, University of Copenhagen
11.2018 - 11.2022
Research assistant/bioinformatician
Helin Group, BRIC, University of Copenhagen
03.2018 - 11.2018
PhD - Molecular Mechanisms of disease
BRIC/Finsenlab, University of Copenhagen
01.2018 - 04.2022
Bioinformatician
Computational Biology Laboratory (Elena Papaleo) at the Danish Cancer Society Research Center (DCRC)
05.2016 - 02.2018
Master of science (M.Sc.) - Bioinformatics
University of Copenhagen & Novo Nordisk Foundation Center for Basic Metabolic Research
01.2013 - 04.2016
Bachelor in science (B.Sc.) - Naturvidenskab & IT
University of Copenhagen
01.2010 - 04.2013