Welcome! My name is Dr. Jericho Cain. I am a physicist working in gravitational-wave astrophysics and computational data analysis, with a focus on physics-first machine learning methods for signal detection and source separation.
My research centers on developing template-free and unsupervised approaches to gravitational-wave data analysis, with applications to both ground-based detectors (LIGO) and future space-based missions (LISA). I am particularly interested in time–frequency methods, wavelet representations, and geometric approaches to inference in confusion-limited regimes.
In parallel with my research program, I teach undergraduate physics and mentor students in computational and data-driven approaches to physical science. I also have experience applying machine-learning methods in industry, which informs my emphasis on robustness, interpretability, and reproducibility in scientific workflows.