Hi, I’m Joseph.

I am implementing and evaluating OmniFold on MINERvA neutrino-scattering data with Prof. Benjamin Nachman, comparing it with iterative Bayesian unfolding through closure tests, generator stress tests, and bootstrap resampling.

Work in progress: whether high-dimensional unbinned unfolding reduces structural model bias is the question under test.

• Research write-up (PDF)
• GitHub

At Jefferson Lab, I applied Gaussian-process regression to model invariant-mass backgrounds and search for localized excesses, then presented the study at the APS Far West Section meeting at UC Santa Cruz.

• Talk (PDF)

At SLAC, I worked on a four-person XCC Higgs-factory proposal, analyzing simulation data with Delphes, ROOT, and HPC systems and developing machine-learning methods to study pileup effects.

• Poster (PDF)

For Stanford’s observational astrophysics course, I reduced 140 V-band CCD images and performed differential photometry on 138 retained exposures, recovering variability consistent with the known 1051-second positive-superhump family.

• Report (PDF)
• Slides (PDF)

I supported suspension simulation and testing and conducted laser-beam interferometry experiments with Python analysis, documenting the work in a technical note.

• Technical note (PDF)