Michael joined the MPCR lab in February 2015 and received his undergraduate degree in Biology from Florida Atlantic University in August 2016. Before joining the MPCR lab, he modeled the propagation of invasive species throughout Lake Okeechobee and the Florida Everglades in the FAU Geoscience Department. He has since combined cutting edge, neurally-inspired methods in machine learning with his knowledge of remote sensing and GIS to create new ways to solve geospatial problems, such as land cover classification of aerial photographs and autonomous tracking of animal species using drones. Besides working on novel applications for machine learning algorithms, he has also worked to develop new algorithms in the areas of sparse coding, compressive sensing, and locally-competitive neural networks. He believes machines can do anything and is also the co-founder and Chief Technology Officer of Aerial Robotic Systems, LLC, an offshoot of the lab.