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I am a fourth year PhD student at the Department of Computer Science, University of Warwick, in the [Theory and Foundations](https://warwick.ac.uk/fac/sci/dcs/research/focs/) group. I graduated from the Mathematics Institute, University of Warwick, in the summer of 2019 with a BSc in Mathematics. My research area is privacy-enhancing technologies (PETs), specifically [Differential Privacy](https://en.wikipedia.org/wiki/Differential_privacy). In 2022, I published two papers on developing differentially private methods for releasing aggregated multi-dimensional messages. I have completed a paper on characterising data heterogeneity in the framework of federated learning, in conjunction with the [Alan Turing Institute](https://www.turing.ac.uk/). I have also developed a differentially private method for estimating the distribution of populations, in collaboration with [Sayan Biswas](https://people.epfl.ch/sayan.biswas?lang=en).
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I am a PhD candidate at the Department of Computer Science, University of Warwick, in the [Theory and Foundations](https://warwick.ac.uk/fac/sci/dcs/research/focs/) group. I graduated from the Mathematics Institute, University of Warwick, in the summer of 2019 with a BSc in Mathematics. My research area is privacy-enhancing technologies (PETs), specifically [Differential Privacy](https://en.wikipedia.org/wiki/Differential_privacy). In 2022, I published two papers on developing differentially private methods for releasing aggregated multi-dimensional messages. In 2024, I submitted two papers that develop differentially private methods in the framework of federated learning. One paper characterises data heterogeneity and the other estimates the distribution of populations.
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