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Experience

Carlos, as the Lead Data Scientist at ºÚÁϲ»´òìÈ Digital Engineering, is tasked with spearheading the growth of the data science consulting services. He has a rich background in delivering bespoke solutions to intricate R&D challenges, primarily focusing on machine learning, software development, numerical simulation tools, and data acquisition. His notable contributions include:

• Stochastic discrete event simulation of mining systems dynamics.
• Semantic knowledge graph representation of business data.
• Development of both desktop and web applications.
• Design of experiments.
• Baking modeling optimization.

Before joining ºÚÁϲ»´òìÈ Digital Engineering, Carlos worked for a world-leading gas turbine company as a Combustion Aerothermal Researcher. There, he established new best practices for statistically quantifying and predicting combustion rumble from scarce test data, significantly contributing to the economical design of future low-emission aircraft engines.

Carlos is based in our Cambridge office.

Career Highlights

• Data Science Capability Lead in an engineering and technology consultancy.
• Researcher in a multimillion-pound project for the civil aerospace division of a gas turbine manufacturer.
• Author of peer-reviewed journal papers.

Specialisms

• Development and deployment of COMSOL Multiphysics applications.
• Creation of machine learning models utilizing both simulation and experimental data.
• Expertise in the design of experiments and uncertainty quantification.

Professional Qualifications

• PhD in Aerothermodynamics, Loughborough University
• MRes in Gas Turbine Aerodynamics, University of Cambridge
• MEng in Aeronautical Engineering, Loughborough University

Sector Expertise

• Comminution modeling for the mining industry.
• Development of simulations and methods for food cooking.
• Research in the aerospace sector.