Currently, I am investigating the potential of Graph Neural Networks in static and temporal-based learning. My overarching interests lie in deep learning and knowledge distillation, which I am applying towards multimodal neuroanalysis (EEG-fMRI) data.
This involves collecting, cleaning, and analyzing over 7,500 EEG-fMRI data points. My tech-stack includes NumPy, Pandas, Nilearn, PyTorch, and PyTorch Geometric.
While I wait for my models to run, I like to learn more about the potential of various neural network models (i.e. cGNN, hGNN) in precisely + dynamically modeling connectivity between various regions within our brains.
The Reflexion Lab will be moving to University College London in 2026.
Currently, I am investigating the potential of Graph Neural Networks in static and temporal-based learning. My overarching interests lie in deep learning and knowledge distillation, which I am applying towards multimodal neuroanalysis (EEG-fMRI) data.
This involves collecting, cleaning, and analyzing over 7,500 EEG-fMRI data points. My tech-stack includes NumPy, Pandas, Nilearn, PyTorch, and PyTorch Geometric.
While I wait for my models to run, I like to learn more about the potential of various neural network models (i.e. cGNN, hGNN) in precisely + dynamically modeling connectivity between various regions within our brains.
The Reflexion Lab will be moving to University College London in 2026.