Bio

Hi everyone!
I’m Elia Cunegatti, a fourth-year Ph.D. student at the University of Trento, Italy ⛰️.
On this website, you’ll find everything related to my research activities.

My main focus is Efficient Deep Learning where I work on making large models lighter, faster, and more resource-efficient through pruning, sparsity, and other model compression techniques. In my spare time, I enjoy exploring graph-related problems and evolutionary computation ideas.

I also occasionally teach and I’m actively involved in supervising student projects and theses.

Updates 🔥

🎉 Aug 2026
Two papers accepted at EMNLP 2026!
From Layers to Submodules: Rethinking Granularity in Replacement-Based LLM Compression — Findings · [paper] [code]
Frequency Matters: Fast Model-Agnostic Data Curation for Pruning and Quantization — Main Conference · [paper] [code]

💼 Apr–Jun 2026
Visiting PhD Scientist at Bristol Myers Squibb (CITRE) in Seville, Spain
Worked on generating Gene Regulatory Networks from scientific literature using Large Language Models, with Dr. Santiago Egea Gomez and Dr. Hannah Pliner.