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Christopher Marshall
Founder and CTO - AI and Machine Learning
Christopher Marshall is a seasoned professional with a strong passion for applying Machine Learning and Data Science to solve real-world business challenges.
His expertise lies in developing intelligent pipelines and systems with a particular focus on cloud deployments and various applications such as emerging technologies, computer vision, quantitative finance, trading, time series forecasting, and oil and gas.
He has a wealth of hands-on experience in Python, Go, C++, C#, TensorFlow, and Pandas, contributing to his proficiency in practical data science, algorithm development, and technical leadership in ML research and engineering.
With a rich educational background, Christopher studied at prestigious institutions including the University of Oxford, where he pursued a PhD at Newcastle University, MEng (Hons) at Newcastle University, and MSci at King's College London.
Christopher Marshall has held significant roles in renowned organizations, notably serving as the Chief Technology Officer at Dynium and previously working as a Robotics Research Scientist at UK Atomic Energy Authority, Veolia Nuclear Solutions, Quantitative Research Scientist at Solaise Capital Management LLP, Senior Research Scientist at Halliburton, Quantitative Analyst at Newedge, Quantitative Analyst at Quality Capital Management Ltd, and Robotics and Vision Systems Researcher at Newcastle University.
With over 5 years of management experience, Christopher has excelled in senior management areas, team building, commercial strategy development, business solution creation, sales, and fundraising, showcasing his versatile skill set and leadership capabilities.