Researcher

Charlotte Adams

Research Expertise:I conduct bioinformatics research in mass spectrometry-based proteomics, aimed at supporting the study of protein composition in biological samples or tissues. I develop computational methods to improve the analysis of difficult-to-interpret mass spectrometry data. My focus is on the annotation of post-translational modifications and immunopeptides, which are particularly relevant in research on infectious diseases and cancer. In addition, I explore the ethical aspects of mass spectrometry data, especially as this technology is increasingly used in clinical settings.

Keywords:MASS SPECTROMETRY, BIOINFORMATICS, PROTEOMICS, IMMUNOPEPTIDOMICS, Computer science (incl. applied informatics)

Disciplines:Bioinformatics data integration and network biology, Interactomics, Proteomics

Research techniques:I apply various bioinformatics and data analysis techniques for processing and interpreting mass spectrometry-based proteomics data. My expertise includes machine learning, deep learning, peptide-spectrum match rescoring, and open modification searching, with the aim of improving the annotation of post-translational modifications and immunopeptides.

Users of research expertise:My expertise is valuable to researchers in the life sciences, particularly those working with mass spectrometry-based proteomics data. Biotech and pharmaceutical companies can also benefit from my methods for protein identification and data analysis. In addition, policymakers and ethicists involved in the regulation of health data and privacy in omics research may find my insights into the ethical dimensions of mass spectrometry data useful.