WELCOME TO MY RESUME

Surya Gupta is a PhD student with particular interest in protein-protein interaction and other related protein associations. She is pursuing her PhD under the combined supervision of Prof. Lennart Martens (CompOmics lab) and Prof. Jan Tavernier (Cytokines Receptor Lab) at VIB-UGent Center for Medical Biotechnology, Ghent University, Belgium. She received her master degree in life science informatics from Bonn-Aachen International Center for Information Technology (B-IT), University of Bonn, Germany. During her internship in master studies, she created a protein-protein interaction network enriched with existing and predictive structural information, in Max Plank Ageing, Cologne, Germany under the supervision of Dr. Bianca Habermann. She completed her master thesis on the topic Targeted Assembly and annotation of Rec4a mutants, in Max Plank Plant Breeding and Research (MPIG) also in Cologne, Germany, under the supervision of Dr. Korbinian Schneeberger.
Her current research work focuses on application and development of bioinformatics tools to handle and acquire meaningful knowledge from large amount high-throughput data. For the high-throughput protein-protein interaction data generated from microarray MAPPIT technique, she has developed a system called MAPPI-DAT, as a combined (meta-) data management and analysis environment. MAPPI-DAT is developed in Python, using R for data analysis and MySQL as data management system. She has also designed and build a protein association graph database called Tabloid Proteome, which include protein associations, derived from publically available high-throughput mass spectrometry based proteomics experiments and biological annotations, derived from existing knowledgebases. The graph database in Tabloid Proteome is built on python based Neo4j platform.