Specialities: Next-generation proteomics (Quantitative-Discovery/Targeted) and Mass Spectrometry (MS); PTMs; characterization of complex biological systems; protein-protein interactions (PPI) using various MS platforms. Research Interest:Passionate about interdisciplinary and collaborative research. Aim to leverage innovative proteomics and chemical biology methods to interrogate the proteins (key players) interactions network to understand normal/ disease conditions, thus discovering potential protein biomarkers to clinical utility and value (improving early diagnosis, risk stratification, and monitoring patient response to treatment). I am also interested in the ‘Integrative/Multi Omics’ approach overlaying proteomics data, including PTMs, metabolomic datasets to genomics, and transcriptomics to define and stratify the diseases and generate a risk-prediction algorithm for diseases. Skills:• Extensive hands-on experience (>8 years) (independent operation, maintenance, and optimization) in analytical method development/ validation for chromatography (basic reverse phase, strong cation exchange) and MS. Analytical instrumentation including LCs (nanoLC, UPLC, HPLC) and Mass Spectrometer (Sciex-ESI MS/MS-Triple-TOF 5600, Sciex- QTrap 6500, Thermo Scientific-Orbitrap Velos Pro, Q Exactive HF, Orbitrap Eclipse Tribrid MS.• Extensive proteomics (Body fluids, like Plasma/ Serum, Saliva, HVS, Hair, Tissues, Cells, etc.)- including proteome profiling, protein-protein interactions, and PTMs (Carbonyl, Phospho, Glyco, etc) using IDA/DDA; HCD/ ETD, label-free (DIA (SWATH), Spectral Count, Peak Area); and labelled (iTRAQ-4plex and 8plex, TMT) quantitative; targeted acquisition (MRM); AP/ IP-MS; Peptide Mapping; and De-Novo sequencing. • Skilled in designing and implementing experiments within strategic projects. sample preparation, generating reproducible quality control data, research article writing and documentation, and teamwork.• Comprehensive data analysis: MS-based data analysis and statistics workflow using different software like Analyst, Protein-Pilot, Mascot, Peak View, Marker View, Multiquant, Xcalibur, Protein Discoverer, Maxquant, Spectronaut pulsar, Skyline, PEAKs, Peptide-Shaker, Cytoscape, Network Analyst, Webgestalt, DAVID, Panther, STRING, Reactome and KEGG pathway. Learning programming languages (R, Python) with advanced statistical tools for analysing large datasets.• ELISA, PCR/ qPCR (Real-time)/ RT-PCR, Electrophoresis, Blotting, Molecular Biology techniques, Cell Cultures (Human and bacterial), and cell-based assay.