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Mona Singh conducts research at the intersection of computational molecular biology and machine learning. Her work broadly encompasses developing data-driven algorithms that infer protein interactions and specificity networks from high-throughput biological datasets. Singh's research is focused on predicting the impact of mutations and variations in the context of disease, as well as uncovering protein functions from sequences and structures. She also analyzes biological networks to understand cellular organization and functioning. With a strong appreciation for protein structure, her research leverages the complex relationships found within biological data to drive insights into molecular interactions and cellular pathways.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.