Eric Perlman

Eric Perlman's research delves into the intricate realms of astrophysics and time series analysis. As a Research Associate Professor in the Joint Center for Astrophysics and Physics Department at the University of Maryland, Baltimore County (UMBC), he brings a wealth of knowledge and expertise to his field. Additionally, he serves as a Visiting Scientist at the Center for Astrophysical Sciences at Johns Hopkins University, further broadening his academic and research horizons. His work primarily focuses on the predictive mining of time series data in astronomy, a field that combines his passion for astrophysics with advanced analytical techniques. Eric's research aims to uncover patterns and insights from astronomical data, contributing to our understanding of the universe's dynamic processes. By employing sophisticated time series analysis methods, he seeks to predict celestial phenomena and enhance our comprehension of cosmic events. Throughout his career, Eric has been dedicated to advancing the field of astrophysics through innovative research and collaboration with fellow scientists. His contributions have been recognized in numerous publications and conferences, where he shares his findings and engages with the scientific community. Eric's commitment to his research and his role as an educator make him a valuable asset to both UMBC and the broader astrophysical research community.