Radboud University Medical Center (Netherlands)
Purva is currently a postdoctoral fellow at the Translational Metabolic Laboratory (TML), Radboud University Medical Center in Nijmegen (The Netherlands). She received her PhD in Bioinformatics from the Max Planck Institute of Chemical Ecology and the Friedrich Schiller University, Jena (Germany) in September 2018. As a part of her PhD project, she developed computational algorithms to analyze mass spectrometry imaging data. She then moved to the Netherlands Institute of Ecology, Wageningen (The Netherlands) to start her first postdoctoral position where she established computational workflows to analyze metabolomics data originating from GC/MS and imaging mass spectrometry experiments.
Her core long-term interest lies in developing and applying a range of bioinformatics, machine learning and data analysis approaches to interpret mass spectrometry (MS) based -omics data. As a part of her current research at TML, her focus is on building data interpretation algorithms and robust computational workflows that can help identify disease-related signals from untargeted MS-based metabolomics and glycoproteomics data with direct application in personalized patient diagnostics. As a part of her daily work, Purva leads the Bioinformatics activities within TML. She is also a part of the Netherlands X-omics initiative and the United for Metabolic Diseases (UMD) initiative.