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I am a Computational Biologist and my research interests lie in the application of statistics and machine learning methods to study rheumatoid arthritis (RA) and other rheumatic diseases. My long-term goal is to integrate and interpret large-scale multi-omics immunogenomics data to discover therapeutic drugs for autoimmune diseases. I joined the Raychaudhuri’s laboratory at January 2017 having received my PhD in Bioinformatics and Computational Biology at Worcester Polytechnic Institute (WPI), under the supervision of Dr. Patrick Flaherty. During my PhD, I developed two Bayesian models to improve the accuracy and scalability for rare variant detection in heterogeneous clinical samples. I also developed Global Optimization methods to solve mixed membership models for gene expression data. During my postdoc, I have been involved in the NIH Accelerating Medicines Partnership (AMP) project and my recent work is related with multi-model data integration across single-cell transcriptomics, proteomics, and epigenetics to identify pathogenic features in RA synovial tissues. I am also working on integration of single cell transcriptomics from different disease tissues to reveal common inflammation-associated immune cell populations from patients with RA, lupus, ulcerative colitis, and RA-associated interstitial lung disease (ILD).