Welcome to my website!

I am a PhD candidate at the Department of Computer Science, University of Warwick, in the Theory and Foundations 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. 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.

News

• March 2023: Won Best Presentation Award at the Warwick Postgraduate Colloquium in Computer Science, “Theory and Foundations” track, WPCCS’23.
• December 2022: Was Invited Poster Presenter at the Applied Statistics and Risk Unit Partnership Day.
• October 2022: Was Invited Speaker at Surrey Centre for Cyber Security, University of Surrey.
• August 2022: Completed Summer School on Privacy-Preserving Machine Learning, Copenhagen, Denmark.
• March 2022: Our paper Applying the Shuffle Model of Differential Privacy to Vector Aggregation published at BICOD’21.
• February 2022: Our paper Aggregation and Transformation of Vector-Valued Messages in the Shuffle Model of Differential Privacy published at TIFS’22.
• December 2020: Won Best Long Presentation Award at the Warwick Postgraduate Colloquium in Computer Science, WPCCS’20.
• October 2019: Started PhD in Computer Science at University of Warwick, under the supervision of Prof. Graham Cormode and Prof. Carsten Maple.
• July 2019: Graduated from BSc degree in Mathematics with Upper Second-Class Honours.
• October 2016: Started BSc degree in Mathematics at University of Warwick, Coventry, UK.