Negin Ashrafi

Negin Ashrafi currently serves as a Graduate Research Assistant at the University of Southern California, where responsibilities include developing machine learning and deep learning models, particularly for healthcare applications, and achieving significant improvements in mortality prediction accuracy. Negin has contributed to multiple journal articles and conference papers and has extensive experience as a Graduate Teaching Assistant in various optimization-related courses. Previous roles include research and teaching assistant positions at Sharif University of Technology, alongside an industrial engineering role at Poolad Consultant Engineers Company, focusing on data analysis and stakeholder communication. Negin holds a B.Sc. from Sharif University of Technology and is currently pursuing further education at USC.