Carlos possesses over eight years of experience in data science and scientific computing. He is a specialist in software development, machine learning, simulation, optimization, and uncertainty quantification. Carlos takes pleasure in uncovering insights within data, which can then be utilized

Experience

Carlos, as the Lead Data Scientist at ÌìÃÀ´«Ã½ 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 ÌìÃÀ´«Ã½ 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.

ÌìÃÀ´«Ã½ Digital Engineering

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