Hi! I'm a fourth-year PhD student in machine learning & computer vision at Queen Mary University of London (QMUL), working with Ioannis Patras, Mihalis A. Nicolaou, and Yannis Panagakis. I'm also an Honorary Associate (visiting scholar) at the University of Wisconsin–Madison, working with Grigorios Chrysos. Previously, I was fortunate enough to intern at both Huawei Noah's Ark Lab London and The Cyprus Institute.

My PhD research focuses on interpretable and controllable machine learning. I'm interested in both discovering interpretable mechanisms in existing models and designing new layers/architectures that better exhibit such properties from the outset. A central theme of my work is leveraging tensor methods and structured matrices to break down machine learning models’ computations into human-understandable subcomponents. My ultimate goal is to advance AI safety and trustworthiness by making machine learning systems more transparent.

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