Sophie Kadan

I am interested in studying how physics intersects with math to create our reality as we know it, from quantum descriptions at the particle scale to field explanations at the planetary scale. I am interested specifically in the role of machine learning in researching new physics, and my experiences with Dr. Evelyn Thomson’s particle physics lab have allowed me to explore such ideas through this lens.

While I am interested in natural/physical sciences, I would like to help incoming researchers of any field explore their options and passions. I would like to match them with professors whose studies align with their professional goals, and I want to make them aware of the unique paths that can be taken to reach these goals. Most importantly, I hope to give students a sense of confidence about what they bring to the research table—and how they can navigate CURF’s resources to manage the difficult process.

Current Research:

• Particle Physics Research at Thomson Lab (ATLAS)
• Applied Geometry Research at Yu Lab (Drexel)

Previous research experience:

• Astroparticle Physics REU at UT Dallas
• Condensed Matter Physics Research at Liu Lab

Funded research programs:

• NSF-REU
• PURM