About Daniel Fredin

About Me

I am a physicist, engineer, machine learning researcher, and PhD student at the University of Massachusetts Lowell, specializing in gravitational wave detection, astrophysics, and artificial intelligence applications in scientific computing. My research focuses on developing advanced machine learning techniques for analyzing astrophysical signals, with a particular emphasis on deep learning methodologies for gravitational wave detection.

Prior to my doctoral studies, I worked with the He6-CRES experiment at the University of Washington, where I contributed to high-precision measurements in fundamental physics. I also conducted research at the National High Magnetic Field Laboratory (NHMFL), applying advanced microscopy and data-driven analysis to material characterization. In industry, I have worked in nondestructive evaluation and computational imaging, applying ultrasonic testing, radiographic imaging, and machine learning to aerospace materials and structural analysis.

My broader interests lie at the intersection of computational physics, large-scale data analysis, and high-performance computing, with a focus on leveraging AI-driven approaches to explore complex physical systems. This website serves as a platform to highlight my research, projects, and professional contributions.

For inquiries regarding research collaborations or professional opportunities, please feel free to reach out.