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Research Lead | Research Scientist in Machine Learning and AI | @ Sonos
Research Scientist in Machine Learning and AI in Sonos's Context Awareness research group. I have significant expertise in developing and applying Machine Learning techniques across a variety of domains, including Audio DSP, Speech Processing, and Computer Vision. I have also worked extensively on the development and application of Bayesian methods, including Bayesian optimisation and scalable Bayesian inference (with a focus on Bayesian neural networks). Collaborator and PhD co-supervisor on a couple of research projects with the University of Manchester. Graduate of the University of Leeds with a PhD in Audio-Visual Speech Processing (Computer Science), Master's degree in Computer Science and Electronics (MSc by Research) and a BSc (Hons) degree in Music, Multimedia and Electronics.
University of Leeds
Doctor of Philosophy - PhD, Computer Science - Audio-Visual Speech Processing
January 1, 2012 – January 1, 2017
Univeristy of Leeds
MSc by Research, Computer Science and Electronics
January 1, 2010 – January 1, 2011
University of Leeds
Music, Multimedia and Electronics BSc, Electronics, Computer Science, Music and Multimedia
January 1, 2007 – January 1, 2010
The University of Manchester
Simon Industrial Fellow
January 1, 2023 – July 1, 2023
Sonos, Inc.
Principal Research Scientist
October 1, 2021 – Present
London, England, United Kingdom
Onfido
Applied Scientist
January 1, 2021 – September 1, 2021
London, England, United Kingdom
IBM
Research Staff Member in Machine Learning and AI / AI Algorithms Subgroup Lead
August 1, 2018 – January 1, 2021
Daresbury, Cheshire, United Kingdom
MIDAS Consoles
Software Engineer - Machine Learning / Music Information Retrieval
May 1, 2016 – July 1, 2018
Manchester, United Kingdom
University of Leeds
PhD Student in Computer Science
October 1, 2012 – January 1, 2017
University of Leeds
Lab Tutor and Demonstrator
October 1, 2012 – April 1, 2016
Oracle
Technical Consultant
January 1, 2012 – October 1, 2012
University of Leeds
Postgraduate Research Student
November 1, 2010 – December 1, 2011
Leeds, United Kingdom
The University of Leeds
Demonstrator
November 1, 2010 – December 1, 2010
University of Leeds
Research Engineer: Ruskin Rocks Project
June 1, 2010 – September 1, 2010
Cultural Fit Analysis
The candidate has a strong academic background and extensive experience in research-oriented roles within large corporations (IBM, Sonos) and startups (Onfido). This suggests a fit for organizations that value deep technical expertise, innovation, and a research-driven approach. The diversity of applications (pharmacology, chemical manufacturing, agriculture, pro audio, digital identification) indicates adaptability and a broad interest in applying ML across various domains. However, the lack of explicit project details outside of work descriptions makes it harder to fully assess independent project initiative or specific team collaboration styles beyond what's mentioned in role descriptions.
Soft Skills & Operational Fit
The candidate's experience descriptions suggest strong problem-solving abilities, self-directed research, and collaboration in industrial and academic settings. Leadership roles at IBM indicate team management and client engagement skills. The academic background and research focus imply a strong analytical mindset and ability to work on complex, novel problems.