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CTO at Sibylla AI | Building AI trading strategies | ML, systems, and applied research
I’m CTO at Sibylla AI, where I lead the design & implementation of production AI trading strategies. My focus is on turning machine learning into reliable, high-impact systems — from data pipelines and infrastructure to deployment and continuous improvement in real-world environments. Before this, my work spanned applied machine learning, medical imaging, and signal processing, with publications and patents in areas where accuracy, robustness, and interpretability matter. At Sibylla AI, I’m responsible for: • Technical strategy, code quality and model architecture • Building and leading high-performing ML, data science and engineering teams • Translating research into scalable, high quality, production-ready systems • Supporting product direction and technical due diligence I’m particularly interested in problems where: – data is complex and noisy – decisions have real-world consequences – strong engineering matters as much as theoretical optimality If you’re working on challenging AI problems or building in this space, feel free to reach out.
University of Surrey
Doctor of Philosophy (PhD), Psychoacoustics
January 1, 2011 – January 1, 2014
University of Surrey
BMus (First degree with hons), Tonmeister (Music & Sound Recording)
January 1, 2006 – January 1, 2010
Sibylla AI
Chief Technology Officer
May 1, 2024 – Present
Sibylla AI
VP Applied ML & Engineering
May 1, 2022 – May 1, 2024
AstraZeneca
AI Deep Learning Platform Lead
November 1, 2020 – May 1, 2022
AstraZeneca
Principal Deep Learning Engineer
June 1, 2020 – October 1, 2020
Fetch.AI
Lead Software Engineer
October 1, 2018 – June 1, 2020
Fetch.AI
Senior Software Engineer
July 1, 2018 – October 1, 2018
Nokia Bell Labs
Senior Researcher
January 1, 2018 – July 1, 2018
Nokia
Interim Team Lead - Machine Learning
July 1, 2017 – December 1, 2017
Nokia
Senior Researcher, Data analytics and Machine Learning
October 1, 2015 – June 1, 2017
University College London
Research Associate
July 1, 2014 – June 1, 2015
University of Surrey
Demonstrator
September 1, 2012 – June 1, 2013
BBC Research & Development
Research Assistant (casual worker)
August 1, 2011 – February 1, 2012
London Area, United Kingdom
University of Surrey
PhD researcher
January 1, 2011 – June 1, 2014
Adrian James Acoustics
Technical Assisstant
August 1, 2008 – July 1, 2009
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience, ranging from academic research (University of Surrey, UCL) to industry roles in AI/ML (Nokia Bell Labs, Fetch.AI, AstraZeneca, Sibylla AI), demonstrates adaptability and a broad perspective. The progression into leadership roles and involvement in cutting-edge areas like Generative AI and Transformers indicates a proactive and innovative mindset, which is generally a good cultural fit for dynamic tech environments. The lack of specific project details makes it difficult to assess collaboration style or specific cultural alignment beyond general leadership traits.
Soft Skills & Operational Fit
The candidate's resume highlights leadership, team management, and communication skills across multiple senior roles. The PhD research also indicates strong analytical, experimental design, and reporting capabilities. These attributes suggest a strong operational fit for leading or significantly contributing to complex ML projects.