Assistant Professor of Computational Biology at MBZUAI
Professor Beltrame’s main research interest is on developing methods and tools for working with biological data generated by single cell omics technologies, which are key to advancing precision medicine. He is particularly interested in single cell RNA sequencing, which measures the RNA contents of thousands of individual cells from a biological sample in a single experiment at unprecedented scale and biological resolution. Data is now being generated much faster than researchers can analyze it, and Professor Beltrame seeks to develop new methods and tools that can streamline biological analysis and make it easy to ask biological questions about the data for researchers of all backgrounds. He is also interested in exploring the development of interactive analysis tools that incorporate recent advances in machine learning, such as natural language models, which can make biological analysis easier, faster and broaden access to more researchers.