Investigating the repulsive behaviour of topological atoms under compression
Testing the consistency of machine learning models in quantum chemistry
{Python, Gaussian, bash, high performance computing}
Projects
Using transfer learning to detect illnesses in the brain
Developing transfer learning models to detect tumours in 3D images of the brain
{Python, PyTorch, Numpy, tcsh, high performance computing}
Simulating neutrino detection events with GANs
Using generative models to simulate light detection in liquid argon time projection chambers
{Python, Tensorflow/Keras, bash}
Markov chain Monte Carlo extensions of the Ising model
Creating extensions of magnetic spin models, including the 2D XY and 3D Heisenberg models
{Python, Numpy}
ROOT analysis of Monte Carlo particle physics simulations with ATLAS OpenData
Analysed simulated and real data of particle physics collisions using C++ with ROOT
{C++, ROOT}
