Lucia Cascino is a researcher specializing in the intersection of physics, nanotechnology, and artificial intelligence. She is currently a PhD candidate in Physics and Nanotechnology at the University of Salento, with an expected graduation in 2026. Her academic background is distinguished by a Master’s degree in Applied AI (2025) and a Master’s in Nanotechnology, Matter and Applied Physics, which she completed with honors (110/110 cum Laude).

Her professional experience includes her current role as an Assistant Researcher at the TU Dresden and a previous research fellowship at the University of Padua, where she focused on first-principles simulations for polariton chemistry. Lucia has developed significant technical expertise in ab initio calculations (DFT and TD-DFT), high-performance computing (HPC), and molecular modeling. She is also an active developer, notably creating the “Polaritonic Index,” a computational tool for classifying hybrid light-matter excitations.

In addition to her research, she has experience as a computer science teacher and a tutor for mathematics and physics. She is proficient in Python, Bash, and SQL, and has presented her work at several international conferences across Europe.