Astrophysics
Observational astronomy, binary stars, astrometry, astronomical imaging, and interferometric techniques.
My work sits at the intersection of physics, astronomy, and computing.
I am pursuing an M.S. in Physics at New Mexico State University, with research interests spanning high-energy particle physics, astronomy and astrophysics, and computer and software engineering.
Much of my research has focused on binary star systems. I have worked with astronomical imaging, astrometric measurements, and speckle interferometry, including observations of very-low-separation binary systems using the 60-inch Hale Telescope at Mount Wilson Observatory.
I also work with computational methods in physics. My current research involves applying neural networks to calibration problems in nuclear physics, while also developing and maintaining the computational infrastructure required for machine-learning research.
Across these projects, I am particularly interested in using software and computational techniques to solve problems that would otherwise be difficult to approach analytically or experimentally.
Observational astronomy, binary stars, astrometry, astronomical imaging, and interferometric techniques.
High-energy physics, nuclear physics, detector calibration, and computational approaches to experimental physics.
Scientific programming, machine learning, Linux systems, high-performance computing, and software engineering.
EXPECTED SPRING 2029
M.S. Physics
OBSERVE
Start with the physical system and the available experimental or observational data.
COMPUTE
Use programming, numerical methods, and machine learning to extract information and test ideas.
UNDERSTAND
Connect computational results back to the underlying physics and communicate the results clearly.
For research, academic, or technical inquiries:
msyfrett@nmsu.edu