Meredith Sperling

B.S. in Mechanical Engineering and B.A. in Mathematics UMBC (Expected Graduation: May 2019) NOAA CESSRST Fellow Research Interests: Wind Energy Development, Uncertainty Quantification, Artificial Intelligence/Machine Learning, Environmental Statistics, Atmospheric Modeling, Numerical Modeling, Model Validation, Remote Sensing Meredith joined the UMBC Atmospheric Lidar Group in January 2017 to study how remote sensing technology can be used to reduce … Continue reading Meredith Sperling