Nick Howes
I am an applied scientist with over 15 years of experience translating complex, real-world challenges into machine learning solutions that support practical, data-driven decision-making. I have served as both a team and engineering lead and as an individual contributor, bringing a well-rounded mix of leadership and technical expertise.
With a background in geophysics and geosciences and a commitment to keeping pace with emerging technology, my career includes developing novel solutions with social, economic, and environmental impact at a non-profit research institute; consulting as a senior engineer at MathWorks to scope and deploy AI, data, and modeling projects across multiple industries; and contributing as an applied scientist at Shell, where I advanced subsurface analytics and reservoir characterization.
As a senior applied scientist and full-stack data scientist, I am experienced in project scoping, analytical reasoning, and numerical modeling using both physics-based approaches and machine learning. My work emphasizes delivery and deployment, ensuring solutions are integrated and used in practice. I also bring strength in communication and visibility, with contributions through data visualization, publications, invited talks, and recognition such as BBC News coverage.
I focus on developing predictive models that help organizations and communities navigate uncertainty, improve operations, and make informed decisions.Â