Charlie Dickens

I am a research scientist at Yahoo working on the DataSketches team. My research interests are in randomised algorithms for large-scale data analysis and machine learning, as well as fundamental matrix computations. Between 2016-2021, I was a PhD student at the University of Warwick’s Department of Computer Science, supervised by Graham Cormode. My PhD won the Faculty of Science, Engineering and Medicine Thesis Prize in Computer Science.

During summer 2020 I was research intern at Verizon Media (now Yahoo) in the DataSketches team where I focused on regression model training using matrix summaries. In 2019 I was an Applied Science intern at Amazon’s Cambridge Laboratory and developed scalable streaming algorithms for principled anomaly detection. Between August and September 2018 I was a visiting graduate student at the Simons Institute for the Foundations of Data Science program. From September 2017 - August 2018, I was an Enrichment Year Student at the Alan Turing Institute for Data Science and Artificial Intelligence where I studied how large-scale regression problems can be solved more quickly using sparse random projections. Prior to starting my PhD at Warwick, I completed my MSci in Mathematics at the University of Birmingham.