معرفی
Sebastian Wagner-Carena is a Faculty Fellow at the Center for Data Science (CDS) at New York University. He brings substantial expertise in physics and computational methods for astrophysical research, focusing on dark matter analysis through gravitational lensing phenomena.
Dr. Wagner-Carena completed his PhD in Physics at Stanford University under Professor Risa Wechsler. Prior to Stanford, he earned a B.S. in Physics and Mathematics with a minor in Computer Science from Harvard University, where he worked with Professor Cora Dvorkin on Cosmic Microwave Background signal separation techniques.
His research primarily investigates dark matter physics using strong gravitational lenses, measuring gravitational effects of dark matter structures on light from distant galaxies when direct electromagnetic detection is impossible. He leverages computational tools ranging from physical simulations to machine learning-based inference techniques to advance our understanding of dark matter properties and distribution.
Dr. Wagner-Carena's publications demonstrate expertise in developing simulation-based inference methods for gravitational lensing systems, with applications in both theoretical astrophysics and practical data science approaches.
His GitHub activity shows significant contributions to open-source scientific software including paltas, paltax, and ovejero, which focus on conducting simulation-based inference on strong gravitational lensing systems using advanced computational methods.
Dr. Wagner-Carena has expressed enthusiasm about joining CDS, noting that 'CDS is a unique interdisciplinary effort housed in one of the most vibrant research cities in the world. I'm excited to join the CDS and get to work with its talented students, fellows, and faculty!'
