Experts in:

Modeling and simulation

  • Valuation of financial products and their risks, portfolio management.
  • Multiphysics phenomena.
  • Data science.
  • Statistical analysis.
  • Optimization of industrial processes.
  • Scientific programming.

Statistics and Big Data

  • Statistical advice and data analysis.
  • Time series forecasting.
  • Environmental and energy statistics.
  • Tourism statistics.
  • Customer, market and product studies.
  • Biostatistics, epidemiology.
  • Design of experiments, clinical trials.
  • Health applications.
  • Quality and reliability control.
  • Production, process and stock control.
  • Statistical applications for industry or public administrations.


  • Product optimization.
  • Process optimization.
  • Stock optimization.
  • Resource optimization.
  • Optimization in the location of resources.
  • Transport route planning.
  • Work planning
  • Optimal decision support.
  • Optimization of industrial and business processes.

Artificial intelligence

  • Neural networks.
  • Bayesian networks.
  • Machine learning.
  • Deep Learning.


  • Programming in scientific languages: Fortran, C, C++, Python, Matlab, R.
  • Use of commercial software packages.
  • Use of free software packages.
  • Data modelling / Databases.
  • Implementation of commercial and free software packages.

Areas of experience:

Challenge 1: Health

  • Optimization of the planning of the location of primary health care facilities in environments uncertain of the evolution of demographic rates over a time horizon.
  • Optimization of ambulance fleet types: Sizing and location in an uncertain environment of service demand.

Challenge 3: Energy

  • Optimization of the location of renewable sources (wind, solar, photovoltaic, etc.).
  • Optimization of maintenance planning for electricity generators.
  • Optimization of energy distribution networks.

Success stories:

Algorithm and scheduling of the optimal allocation of incidents in the internal call centre service and staffing levels

Contract-project in collaboration with the company Eroski S. Coop.
Operational research resources, queuing theory, routing algorithms and linear programming in a SQL, visualbasic and LPSolve environment were used.

Optimising the work organisation of rubber and tyre manufacturing machines

Contract-project in collaboration with the company Eroski S. Coop.
Operational research resources were used, specifically, mixed integer linear programming models in a Python and COIN environment.

Estimation of the quality of Ambulancias Bizkaia’s service using statistical techniques.

Contrato-proyecto en colaboración con la compañía UTE ambulancias Bizkaia.
Se utilizaron técnicas de estimación para el control estadístico de la calidad en un entorno de Python y COIN.

Modelling the management of promissory note programmes

Contract-project in collaboration with the company PFK Attest.
Operational research resources were used, specifically mixed integer linear programming models in a C++ and COIN environment.

Algorithm for finding optimal rectangular regions on irregular workpieces, to be implemented on wood cutting machines.

Contract-project in collaboration with the company Luzan Arzubia S.L.
Non-linear optimisation resources were used with restrictions imposed by the geometry of the problem in a C++ environment.

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