This research explores the philosophical foundations of particle physics and the Standard Model. Focusing on neutrinos, it argues that these particles may be better understood as different states of a single entity rather than separate objects. The project aims to develop a deeper ontology describing the fundamental structure of physical reality.

This research develops tabletop methods for studying rare radium-containing molecules to search for broken symmetries between matter and antimatter. Because radium’s asymmetric nuclear structure strongly amplifies subtle physical effects, these molecules provide highly sensitive probes for new physics that could help explain why matter exists in the universe after the Big Bang.

This research investigates the area law conjecture in quantum physics, which proposes that information shared within quantum systems scales with boundaries rather than total particle number. By developing new mathematical tools for tracking and compressing quantum information, the work aims to simplify the analysis of extremely complex systems in physics, chemistry, and materials science.

This research uses AI to detect subtle interactions between the Higgs boson and muons at the Large Hadron Collider. By refining large datasets, it aims to uncover how particles acquire mass at smaller scales. Confirming this interaction would deepen understanding of the Higgs field and fundamental physics.

This talk explains how precise timekeeping underpins technologies like GPS and how atomic clocks achieve extreme accuracy using atomic oscillations. The research explores a new “active atomic clock” where atoms generate their own light, enabling even greater precision. Improved clocks could advance navigation, physics research, and our understanding of the universe.

This research uses a scanning tunneling microscope to visualize and measure individual atoms using quantum tunneling. By mapping surfaces atom-by-atom and probing electronic properties, it advances technologies such as nanowires, superconductors, and atomic-scale chips. Understanding materials at the quantum level enables better design of devices that impact energy, computing, and sustainability.