Greg Dobler is a Visiting Scholar at CUSP. His expertise is in image analysis, computer vision, time series, statistical analysis, and mathematical modeling of large data sets. Prior to joining CUSP, Greg was an astrophysicist specializing in multi-wavelength, full sky data sets from radio to gamma-ray energies, and led the discovery of one of the largest structures in the Milky Way.
As the Chief Scientist of CUSP’s “Urban Observatory” (UO), Greg applies data analysis techniques from astronomy, computer vision, and machine learning to images of New York City’s skyline to study air quality, energy consumption, lighting technology, public health, and sustainability.
For centuries, astronomers have used observations of the night sky to understand how the universe works through analysis of observational data. In analogy, CUSP’s UO goal is to derive actionable information and science about how the city of New York works through persistent, remote observations of its skyline.
Greg also leads data analysis projects related to equitable distribution of greenspaces, mapping long timescale economic trends across the city, surrogate measures for traffic safety, and geo-location of social media content.
To learn more about Greg’s work, please visit http://serv.cusp.nyu.edu/~gdobler/home/