Susanna Paoli
Hi! I'm a PhD student in Statistics and Machine Learning in the Department of Mathematics at Imperial College London, as part of the StatML CDT between Imperial College London and the University of Oxford. Broadly, my research interests are in generative models (including multimodal models), uncertainty quantification, and algorithmic decision-making.
I completed my MSc in Data Science at Bocconi University with a thesis on Bayesian nonparametrics. During my master's degree, I also worked on AI safety and prompt engineering for large language models. Before that, I graduated with a BSc in Economics and Computer Science, spending a semester abroad as an exchange student in Machine Learning at Georgia Institute of Technology. My BSc thesis focused on the applications of machine learning and natural language processing models to study gender bias in news articles.
I completed my MSc in Data Science at Bocconi University with a thesis on Bayesian nonparametrics. During my master's degree, I also worked on AI safety and prompt engineering for large language models. Before that, I graduated with a BSc in Economics and Computer Science, spending a semester abroad as an exchange student in Machine Learning at Georgia Institute of Technology. My BSc thesis focused on the applications of machine learning and natural language processing models to study gender bias in news articles.