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).
Currently, I am an Applied Science intern at Amazon’s Cambridge Laboratory. My internship has focused on scalable streaming algorithms for principled anomaly detection.
Here is my CV
Current research focusing on projected frequency estimation on data streams of matrices and streaming anomaly detection for machine learning.