Summary
Rick Schulte is a research scientist specializing in satellite remote sensing and algorithm development, currently advancing retrieval methods for NASA's CloudSat and INCUS missions at Colorado State University. With a Ph.D. in atmospheric science and 11 years of research experience, he blends expertise in machine learning, radiative transfer, inverse modeling, and data assimilation to extract cloud and precipitation properties from microwave radiometers and radars. His work spans from developing optimal-estimation retrievals for CubeSats to leveraging unique datasets like OceanRAIN to probe high-latitude drop size distributions, revealing subtle constraints on low-cloud microphysics. Comfortable moving between theory, coding, and field-oriented datasets, he has also applied his analytical skills to planetary atmospheres and climate model evaluation. Based in Fort Collins, he pairs rigorous scientific methods with practical algorithm engineering, and outside the lab he’s an avid runner, cyclist, and chess player—habits that mirror his methodical, endurance-focused approach to research.
11 years of coding experience
10 years of employment as a software developer
The University of Edinburgh
Doctor of Philosophy - PhD, Atmospheric Science, Doctor of Philosophy - PhD, Atmospheric Science at Colorado State University
Bachelor's Degree, Physics and Mathematics, Minor in Computer Science, 3.97 GPA, Bachelor's Degree, Physics and Mathematics, Minor in Computer Science, 3.97 GPA at Santa Clara University Class of 2014