About me

I earned my PhD in Deep Learning from Queen's University in October 2023. My primary passion revolves around data science, especially harnessing the power of Deep Learning to unravel and make sense of vast datasets. My academic journey has been marked by numerous publications in prestigious journals, mainly in the realms of federated learning and continual learning. Adept at Python, I often employ libraries like PyTorch and TensorFlow to carry out my experimentations and projects, driving forward the frontier of understanding in these areas. Outside of my professional pursuits, I enjoy taking long walks, listening to audiobooks, and delving into sci-fi novels, which offer a different kind of exploration and understanding.