Butros (Peter) Dahu

Peter's Research

Peter's research is to integrate population health and geospatial data layers with artificial intelligence (AI)-generated information from remote sensing for advanced predictive and prescriptive analytics of population phenomena such as the COVID-19 outbreak. Use cutting edge and best practice analytical techniques, we will extract information from multi-dimensional heterogeneous complex data collections such as environmental time series; multiscale-images; epidemiological and spaceborne sensor data. Extracted information can include multiscale convolutional features from high-resolution images; time dependent characterizations; and complex multi-model behavior. Such features are critical to the etiology of any phenomena. I thrive on new approaches to complex problems involving complex data. 

Open Access Paper: 

PhD Candidate, Informatics

Research Focus:


Master of Science: Health and Bioinformatics, 2022

Master of Business Administration: Health Sector Management and Finance, 2016

Graduate Certificate: Data Science and Analytics, 2021

Bachelor of Science: Biology, minor Chemistry, 2013