Marie Mardal

Marie Mardal

Associate professor in forensic toxicology (50%) / Researcher at the Arctic University of Norway (50%)

  • Frederiksvej V's Vej 9-11

    2100 København Ø

Personal profile

Short presentation

Research interests

- Computational mass spectrometry

- Forensic HRMS drug screening

- Metabolomics focused on coronary artery disease

I am interested in how we can use general-purpose programming languages to improve forensic services in general. We are constantly seeking to improve analytical strategies for the detection of new psychoactive substances through the sharing analytical intelligence and identifying analytical targets with drug metabolism studies. Furthermore, I am running a wastewater monitoring study for drugs of abuse in the greater Copenhagen area.

Ongoing projects

In forensic chemistry we are working on Principal investigator of the multi-disciplinary research project, TROMBOLOME (€1.4 mio funded by the Norwegian Research Council), with the objective to improve data workflows for large-scale untargeted, metabolome data. We aim to build a (structured query language) SQL database of untargeted metabolome data from population study biobank samples, and then combine the biochemical insights from metabolite profiles with health registry data for cardiovascular health. This will improve insight in pathophysiological mechanisms behind and personalized medicine for coronary artery disease.

Highlighted publications

Pan M, Rasmussen BS, Dalsgaard PW, Mollerup CB, Nielsen MKK, Nedahl M, Linnet K, Mardal M. A New Strategy for Efficient Retrospective Data Analyses for Designer Benzodiazepines in Large LC-HRMS Datasets, Frontiers in Chemistry 2022: https://doi.org/10.3389/fchem.2022.868532

Mardal M, Fuskevåg OM, Dalsgaard PW. Comprehensive UHPLC-HR-MSE screening workflow optimized for use in routine laboratory medicine: four workflows in one analytical method, Journal of Pharmaceutical and Biomedical Analysis 2021: https://doi.org/10.1016/j.jpba.2021.113936

Mardal M, Andreasen MF, Mollerup CB, Stockham P, Telving R, Thomaidis NS, Diamanti KS, Linnet K, Dalsgaard PW. HighResNPS.com: An Online Crowd-Sourced HR-MS Database for Suspect and Non-targeted Screening of New Psychoactive Substances. Journal of Analytical Toxicology 2019: https://doi.org/10.1093/jat/bkz030

Short presentation

Maries primary fields of research is drug metabolism, detectability, and disposition in various matrices.

In order to detect, and possibly quantify, drug consumption we need to know which analytical targets to measure, and in which matrices we can measure the targets. This information can be collected through studies involving post-mortem and/or in vitro analyses on drug disposition into the brain and bile together with drug metabolism studies. Additionally, Marie is currently involved in research projects involving analysis of drug consumption trends on community-level using wastewater-based epidemiology, in vitro metabolism studies on new psychoactive substances, and improvement of screening methods using high resolution mass spectrometry.

CV

2020-         : Associate professor, Department of Forensic Medicine, KU

2019-         : Engineer/researcher, the Arctic University of Northern Norway

2018 - 2019: Tenure-track assistant professor, Section of forensic chemistry, UCPH

2016 - 2018: Scientific assistant/postdoctoral researcher, Section of forensic chemistry, UCPH

2013 - 2016: PhD, EU-funded MSCA ITN 'SEWPROF', Saarland University (Germany)

2012 - 2013: Scientific assistant, AAU BIO

2011          : ERASMUS student, Uppsala University (Sweden)

2010 - 2012: M.Sc. Pharmaceutical Sciences, UCPH

2006 - 2010: B.Sc. Pharmacy, UCPH

 

2016 - 2018: Management committee member in the EU-funded COST action SCORE-COST (ESSEM 1307)

 

 

External positions

Resarcher 50%, University of Tromsø – The Arctic University of Norway

1 Dec 202030 Nov 2025

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or