Richard Correro is an undergraduate student at Stanford University majoring in mathematics and computational science. He is currently working alongside researchers within the Center for Ocean Solutions to design machine learning systems for the analysis of satellite imagery of the Earth’s oceans.
During his time at Stanford Richard has submersed himself in the study of computer science and mathematics. Building on a strong quantitative foundation, he has devoted himself to the design and implementation of machine learning algorithms. He believes that the tools of computer science and machine learning may open new frontiers in science and industry. Both independently and in conjunction with fellow classmates he has implemented several machine learning systems with many use cases including geospatial analysis. By combining the tools of machine learning with geospatial data he hopes to develop new ways to better understand the Earth and the people who inhabit it.