From August 2025 to June 2026, I worked under the Reflexion Lab (now at University College London). As a Research Assistant, I focused on investigating the potential of Graph Neural Networks in static and temporal-based learning. My overarching research interests include deep learning and graph methods, which I applied towards multimodal neuroanalysis (simultaneous EEG-fMRI) data for vigilance classification.
This involved collecting, cleaning, and analyzing signals from over 7,500 EEG-fMRI data points. My tech-stack (Python, MATLAB) included NumPy, Pandas, Nilearn, PyTorch, and PyTorch Geometric.
2026 UROP Symposium: The Chancellor's Award Recipient for Excellence in Undergraduate Research (Data, Models, and Intelligence Track)
From August 2025 to June 2026, I worked under the Reflexion Lab (now at University College London). As a Research Assistant, I focused on investigating the potential of Graph Neural Networks in static and temporal-based learning. My overarching research interests include deep learning and graph methods, which I applied towards multimodal neuroanalysis (simultaneous EEG-fMRI) data for vigilance classification.
This involved collecting, cleaning, and analyzing signals from over 7,500 EEG-fMRI data points. My tech-stack (Python, MATLAB) included NumPy, Pandas, Nilearn, PyTorch, and PyTorch Geometric.
2026 UROP Symposium: The Chancellor's Award Recipient for Excellence in Undergraduate Research (Data, Models, and Intelligence Track)
