Ranojoy Chatterjee

I am a bioinformatics researcher with expertise in single-cell analysis, machine learning, and health data science. I develop computational tools to streamline single-cell RNA sequencing workflows, including the cellSight pipeline, which automates downstream analysis. My research spans integrative omics, network-based modeling, and graphical neural networks for biological data interpretation. I have experience in cloud computing, SQL, and data science, and I am currently seeking a summer 2025 internship in bioinformatics, single-cell, and health data science.

I specialize in bioinformatics, machine learning, and health data science, focusing on single-cell RNA sequencing, graphical neural networks (GNNs), and integrative omics analysis. I developed cellSight, a pipeline that automates downstream single-cell RNA sequencing analysis, reducing coding complexity by 60%. I analyze cell communication, identify biomarkers for COVID-19 severity, and build predictive models for patient health outcomes using proteomics and metabolomics data.

I apply my expertise in cloud computing, SQL, and data science to solve complex biological problems. I have worked with GCN and GATConv models to enhance predictive performance in biomedical research. Currently, I am seeking a summer 2025 internship in bioinformatics, single-cell, and health data science.

I have a strong educational background in bioinformatics, data science, and computational biology, with expertise in single-cell RNA sequencing, machine learning, and health data science. I have trained in graphical neural networks (GNNs), integrative omics analysis, and cloud computing, applying these skills to biological data interpretation and predictive modeling.