Research Project: Public Health Needs and Privacy Issues
Mentors and Collaborators: Shweta Bansal (Massive Data Institute),
Kobbi Nissim (Department of Computer Science)
Giuia Pullano is an interdisciplinary mathematical epidemiologist with a variety of theoretical and computational skills, specializing in infectious disease modeling for disease prevention and control in humans. My focus lies in characterizing the geographical heterogeneity in the emergence and spread of human-to-human diseases by integrating behavioral and public health data through dynamic modeling frameworks.