I am a Computer Science PhD student at the University of Warwick supervised by Graham Cormode. Until the end of September 2018, I was based at the Alan Turing Institute for Data Science and Artificial Intelligence. My research interests are in randomised algorithms for large-scale data analysis, particularly for fundamental matrix computations. Prior to joining the CS department at Warwick I completed my MSci in Mathematics at the University of Birmingham.
In August and September 2018 I was a visiting graduate student at the Simons Institute for the Foundations of Data Science program. Prior to that I was an Enrichment Year Student at the Alan Turing Institute for Data Science during which I studied how large-scale regression problems can be solved more quickly using sparse random projections (currently under submission).
This summer I will be joining the Machine Learning group at Amazon Cambridge for an internship. We will explore how to employ data sketching for more scalable algorithms.
Here is my CV
ICML 2018 , Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski $p$-Norms, with Graham Cormode and David P. Woodruff, Accepted for long talk at ICML 2018 Paper Code
Turing Enrichment Year work on random projections for large-scale constrained regression problems (under submission)
Current research focusing on projected frequency estimation on data streams of matrices.