Brad serves the role of data scientist in the Center for Social Solutions at the University of Michigan, working to turn data into usable information and find unseen connections and correlations. Brad has worked as a geographer and data scientist in roles with the federal government, local government, private industry, and consultancies to NGOs. In past experiences he has served as the practice manager for software development and product management and the lead geospatial analyst supporting projects with FEMA, the World Bank, and many others. Brad has a specialization in disaster modeling, hazard assessment, and big data, working with large global datasets. With over 10 years of experience with data and GIS, he has worked across six continents on projects ranging from data collection techniques and web development to flood exposure and habitat modeling. Brad also spends time volunteering for nonprofits and NGOs supporting international disasters, collecting vital data and modeling outcomes.
