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Saheli received her Ph.D. in Biomedical Engineering from Case Western Reserve University and conducted postdoctoral research at the Georgia Institute of Technology. Before joining Applied BioMath, she spent time in academia where her research focused on the quantitative single-cell analysis of anti-tumor immunotherapies, including engineered NK cells, ADCC activators, and checkpoint inhibitors, in microfluidic platforms. She is also experienced in developing microscale models of immunogenic tumor microenvironments. In collaboration with experts in machine learning, she helped develop a Convolution Neural Network-based model of effector-target interactions at the single-cell level.