Technical Work
Course notes and technical papers on mathematics and machine learning.
Additive Combinatorics Notes
University of Cambridge • January 2024
Comprehensive notes from an Additive Combinatorics class at Cambridge with Julia Wolf. Covers Fourier-analytic techniques, Bogolyubov's lemma, Roth's theorem, and modern developments in arithmetic progressions and sum-product phenomena.
Combinatorics Notes
University of Cambridge • October 2023
Notes from Bela Bollobas' Part III Combinatorics course at Cambridge. Covers basic results on chains, antichains, EKR theorem, Katona's Circle method, Kruskal-Katona, Sumsets, Alon's Combinatorial Nullstellensatz, etc.
Galois Theory Notes
Yale University • January 2021
Notes from a Fields and Galois Theory class at Yale. Covers field extensions, construction problems, problems of solvability, cyclotomic extensions, and fundamental theorems of Galois theory.
Modern Algebra Notes
Yale University • 2020
Notes on modern algebra covering group theory, ring theory, and module theory. Includes fundamental concepts and advanced topics in abstract algebra.
Teoria e Numrave per Olimpiada Matematikore
Educational Resource
Shenime te perdorura ne trajnimin e nxenesve fitues te olimpiades matematikore te Kosoves. Perfshin bazat e teorise se numrave per olimpiada.
Computational Complexity
University of Cambridge • January 2024
Notes from Timothy Gowers' Computational Complexity class taught at Part III. Topics including complexity classes, completeness, probabilistic algorithms, and some fundamental results in theoretical computer science.
ML-Based (Re)Prioritization of Transmissions from Remote Monitoring of CIEDS
Heart Rhythm Journal • 2025
Develop and evaluate a machine learning (ML) classification model that outperforms rule-based protocols in prioritizing TSMs generated from remote monitoring (RM) of CIEDs–using data found only within each given TSM.
AI Models to Automate Archiving of Not-Relevant ILR Transmissions
Heart Rhythm O2 • 2025
This study aims to develop and validate a machine based model, with artificial intelligence, that accurately predicts which ILR transmissions may be automatically archived - based on criteria and adjudication by technicians who triage these reports.