dr. Purva Kulkarni

About Purva Kulkarni

Purva Kulkarni is a Postdoctoral Bioinformatics scientist at the Translational Metabolic Laboratory (TML), Radboud University Medical Centre 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. 

Her core interest and specialization lies in developing and applying a range of bioinformatics and data analysis approaches to study and interpret large scale mass spectrometry (MS) based -omics datasets. As a part of her current project at TML, her focus is on building novel algorithms and robust computational workflows that can help identify significant mass features of interest from untargeted MS-based metabolomics and glycoproteomics data. This knowledge can provide insights into complex metabolic mechanisms of diseases that further help in the identification of new differential biomarkers. With this, she together with her colleagues try to achieve the key objective of translating their research into novel personalized diagnostics, hence making a real impact on healthcare. Her research interests also extend in developing computational approaches for automated image processing and pattern recognition in biological images.

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 data task force of the United for Metabolic Diseases (UMD) initiative.