MSc Engineering Physics @ Uppsala University: specialising in computational science and machine learning applied to physics and engineering.
- Bachelor's thesis at ATLAS / CERN : ML pipelines for signal detection in LHC data
- Research assistant in Applied Nuclear Physics : fusion event localisation via probabilistic simulation
- 2nd place KTH × Florent Hackathon · Top 5 Google × Epiminds · Winner local round Anter Buildathon
Bachelor thesis — ATLAS Particle Physics Group, Uppsala University Developing neuromporphic learning models to detect and reconstruct signals from experimental data collected at CERN's Large Hadron Collider. Benchmarking neural network architectures on large-scale, complex physics datasets.
Particle track reconstruction in LHC detector data using my 2 stage filtering neural network
Spiking neural network neurons learning to fire — membrane potentials and spike events over time
Multi-agent disinformation tracker : Top 5, Google x Epiminds Hackathon. Built a multi-agent retrieval system using Claude to scrape and analyse web sources in real time for disinformation detection.
VSCode developer assistant 2nd place, KTH AI Society x Florent Venture Hackathon. VSCode extension with a React frontend connected to a Claude-powered backend for real-time developer assistance.
Open-source eye tracker Winner Local round, Antler's National Start-up Buildathon. Built in React, capturing and storing gaze coordinate data for cognitive analysis.
Physics and mathematics foundation with a computational science and AI specialisation. covering probabilistic ML, numerical methods, and scientific computing.
Numerical solution of the 2D acoustic wave equation using SBP-projection methods
Course projects, research code, and hackathon submissions. Mostly Python. Kept readable and reproducible.
- Python (PyTorch, NumPy, SciPy, Pandas, scikit-learn) • LLMs & API Integration
- Multi-Agent Systems • Git/GitHub • Linux/Bash • MATLAB • LaTeX