UC Irvine, Department of Physics & Astronomy

Advisor: Jonathan L. Feng

• ▸Designed and maintain HNLCalc, an open-source Python package (100+ decay and 150+ production channels) for modeling new-physics particle phenomenology across the MeV–GeV mass range; validated channel-by-channel against published results, adopted by an external group for cosmology studies, and selected as a tool for the LLP2026 workshop's reinterpretation hackathon (University of Cambridge).
• ▸As a member of the FORESEE development team (an open-source Python Monte Carlo framework for projecting particle-physics experiment sensitivity), re-engineered core components for the v2 release: vectorized numerical kernels with Numba JIT compilation, compressed multi-GB simulation spectra ~40× (15 GB → 400 MB), built a unified model library, and extended the framework to a new class of experiments. Contributing author on the v2 release paper.
• ▸Ran large-scale Monte Carlo simulation campaigns projecting the discovery reach of the FASER and FASER2 experiments at the LHC, producing the first sensitivity results for previously unstudied multi-parameter scenarios.
• ▸Performed likelihood-based statistical analyses on simulated datasets to estimate physical parameters and discriminate competing theoretical hypotheses from multidimensional kinematic distributions.
• ▸Communicated results through two Physical Review D publications and six international conference presentations and invited seminars in 2024–2026.

Lawrence Berkeley National Laboratory

Advisor: Sinéad Griffin

• ▸Ran ab-initio density functional theory calculations (VASP, Quantum Espresso) on HPC clusters, computing phonon-induced decoherence in candidate solid-state qubit materials to evaluate their feasibility as quantum-computing platforms.

UC Irvine, Department of Physics & Astronomy

Advisor: Jin Yu

• ▸Developed Hartree-Fock-based procedures for generating molecular force fields for nucleotide analogs on HPC clusters, applied to studies of remdesivir's interaction with the SARS-CoV-2 RNA-dependent RNA polymerase.

Ph.D. in Physics (Jun 2026) · M.S. in Physics (Jun 2023)

• ▸Advisor: Jonathan L. Feng
• ▸Thesis: GeV-Scale Neutrinos: Modeling, Discovery and Characterization at Forward Physics Experiments
• ▸Coursework: Quantum Field Theory, Advanced QFT, Elementary Particle Physics, Quantum Chromodynamics, Solid State Physics, General Relativity, Early Universe Cosmology, Machine Learning and Statistics

B.A. in Physics

• ▸Coursework: Quantum Information Science and Technology, Solid State Physics, Introduction to Quantum Field Theory, Differentiable Manifolds (Graduate), Abstract Algebra

A.S. in Physics, Mathematics, and Natural Science with Honors

• ▸Dean's List · Peter Christian Hernandez Memorial Scholarship