Research in Data Science and Technology
Unlocking the truth behind infectious disease pandemics, social determinants of health, antibiotic resistance and other public health concerns often requires harnessing big data and technological innovation.
Our faculty and students lead in methodological research integrating machine learning and causal inference, as well as high-dimensional biology like genomics and neuroimaging. We invest in these cutting-edge tools to make quantum advances in public health interventions for the unique circumstances of individuals, families and their communities.
Data Science and Technology Features:
By Kara Manke | October 24, 2019
A new website called Street Story is helping to collect stories to advocate for safer streets on behalf of bicyclists and pedestrians.
Professor Obermeyer predicts machine learning will transform medicine