Education

• MS in Physics, University of Florida, 2024

• BS in Physics, The University of Texas at Austin, 2022

Research Interests 

The Standard Model (SM) of particle physics has performed remarkably well for decades. However, it must be incomplete since it can’t explain dark matter, dark energy, baryon asymmetry, and much more. There are many theories for Beyond the Standard Model (BSM) physics that try to account for such discrepancies (like the axion-- a hypothetical particle that solves the Strong CP problem and could also be dark matter). My interests lie in helping to discover BSM physics through two methods: exploring and developing new technologies for particle detection, and analyzing data from the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC).

In terms of technologies, I’m exploring the use and design of semiconductor-based detectors, such as Low Gain Avalanche Detectors (LGADs) and Monolithic Active Pixel Sensors (MAPS), as well as more novel approaches for detectors using spintronics with technologies like Magnetic Tunnel Junctions (MTJs). Currently, I’m working on simulating these devices with Synopsys Sentaurus TCAD.

For CMS physics analysis, I collaborate with a group from CERN on measuring the branching ratio of the Bs meson decaying to two tau leptons. The SM predicts this decay to be very rare (no tree-level diagrams), but if a BSM leptoquark exists, the dacay rate could be larger by 2 to 3 orders of magnitude. The current best measurement (from the LHCb experiment) is just shy of being sensitive enough to measure this leptoquark decay. With CMS data, we aim to have the sensitivity to detect (or place limits on) this BSM physics.

• Particle Detectors

  • • Spintronics

      • • Magnetic Tunnel Junctions (MTJs)

    • Semiconductor Detectors

      • • Monolithic Active Pixel Sensors (MAPS)

        • Low Gain Avalanche Detectors (LGADs)

• Data analysis for CMS

Advisor: Yuta Takahashi