Research & Interests

I am a Ph.D. candidate in Applied Mathematics and Statistics at Oakland University, working at the intersection of Galois theory, symbolic computation, and machine learning. My research focuses on building data-driven pipelines that use algebraic invariants and computational methods to study Galois groups of polynomials, with the goal of developing scalable tools for discovering structure in large mathematical datasets.

Publications

• Preprint: arXiv:2511.16622, From Polynomials to Databases: Arithmetic Structures in Galois Theory.

Conferences & Talks

• Dec 2025 — AIMS 2025: Artificial Intelligence and Mathematical Sciences, Shkodra, Albania.

• June 2025 — 5th Pythagorean Conference, Kalamata, Greece. Talk: Symbolic Computation and Machine Learning for Galois Group of Septics.

• Apr 2024 — Artificial Intelligence in Mathematics (AMS Meeting), University of Wisconsin–Milwaukee. Talk:Some Remarks on Invariant Theory and Machine Learning.

• Aug 2023 — Joint Statistical Meetings (JSM), Toronto, Canada.

• June 2023 — QPRC 2023: Deep Learning and the People Side of Process, University of Houston.

• June 2022 — Recent Trends in Algebra, Geometry, and Arithmetic, Vlora, Albania.

• Dec 2018 — Tirana Winter School in Algebraic Geometry, Tirana, Albania.

• Nov 2018 — Innovation in Mathematics and IT, Tirana, Albania.