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Jose M. (Chema) Peña, Machine Learning Developer in Oxford, United Kingdom
Jose M. (Chema) Peña

Machine Learning Developer in Oxford, United Kingdom

Member since October 15, 2017
Jose is a data scientist and artificial intelligence consultant with more than 15 years of experience in industries such as finance, aeronautics, logistics, and healthcare. He has published more than 150 scientific papers and has been a panel evaluator of the National Science Foundation (NSF), the Research Council of Canada, and the EU Commission.
Jose is now available for hire

Portfolio

Experience

  • Artificial Intelligence (AI), 15 years
  • Data Science, 15 years
  • Machine Learning, 15 years
  • Parallel & Distributed Computing, 15 years
  • Genetic Algorithms, 12 years
  • Simulations, 10 years
  • C#, 7 years
  • Unity3D, 5 years
Oxford, United Kingdom

Availability

Part-time

Preferred Environment

Visual Studio, PyCharm

The most amazing...

...thing I have coded were procedural content generation, simulation, and artificial intelligence algorithms for digital content industries.

Employment

  • Director

    2015 - PRESENT
    Lurtis Limited
    • Acted as the director of my own company providing consultancy services in artificial intelligence, data science, simulation, and optimization.
    • Wrote AIKINOS procedural architecture software.
    Technologies: C#, Python, Java, C/C++
  • Associate Professor

    2001 - 2014
    Universidad Politécnica de Madrid
    • Earned the following national accreditations: in Spain, associate professor (Profesor Titular de Universidad) [2003] and full professor (Catedrático de Universidad) [2015] and in France, associate professor (Maître de Conférences) [2005].
    • Evaluated Ph.D. grants, research, projects, and infrastructure for the Spanish Ministry of Science and Education at UPM.
    • Acted as the vice-dean for international relations on behalf of the Computer Science School.
    • Worked in the capacity of deputy director of the Computer Architecture Department and as the deputy director for the Madrid Supercomputing Centre (CeSViMa).
    Technologies: Artificial Intelligence, System Programming, Distributed Systems

Experience

  • AIKINOS House Builder (Development)

    A procedural content generation software to create 3D building structures for digital content industries (video games, animation, VR, and film) and architecture.

  • Resilience2050.eu (Development)
    http://innaxis.org/resilience/

    Resilience2050 is a European FP7 aviation collaborative research project. Resilience2050 was coordinated by Innaxis, and there are six participants from five different countries.

  • RISC: A network for Supporting the Coordination of Supercomputing Research Between Europe and Latin America (Development)
    http://cordis.europa.eu/project/rcn/100036_en.html

    The RISC project aims at deepening the strategic R&D cooperation between Europe (EU) and Latin America (LA) in the field of high performance computing (HPC) by building a multinational and multi-stakeholder community that will involve a significant representation of the relevant HPC R&D EU and LA actors (researchers, policy makers, and users).

  • RETHINK Big: A Roadmap for European Technologies in Hardware and Networking for Big Data (Development)
    http://cordis.europa.eu/project/rcn/191645_es.html

    The objective of the RETHINK big project is to bring together the key European hardware, networking, and system architects with the key producers and consumers of big data to identify the industry coordination points that will maximize European competitiveness in the processing and analysis of big data over the next ten years.

  • Human Brain Project (Development)
    https://www.humanbrainproject.eu/en/

    The Human Brain Project is an H2020 FET flagship project which strives to accelerate the fields of neuroscience, computing, and brain-related medicine.
    This acceleration will be achieved by a strategic alignment of scientific research programmes in fundamental neuroscience, advanced simulation and multi-scale modeling with the construction of an enabling research infrastructure.

Skills

  • Languages

    C, C#, SQL, R, SAS, IronPython, C++, Python, TypeScript, Java
  • Tools

    Microsoft Visual Studio, GIS, Autodesk FBX SDK, SPSS
  • Paradigms

    Parallel & Distributed Computing, Data Science, High-performance Computing, Scrum
  • Platforms

    Linux, Windows
  • Other

    Numerical Optimization, Genetic Algorithms, Simulations, Machine Learning, Artificial Intelligence (AI), Back-end, System Programming, Bayesian Statistics, Optimization Algorithms, Operations Research, Heuristics, CORBA, Logistics, Neuroscience
  • Frameworks

    Unity3D
  • Libraries/APIs

    Scikit-learn, NumPy, OpenMP, MPI, SignalR, Pandas, HDF5
  • Storage

    SQLite, MySQL, Neo4j, Cassandra, MongoDB

Education

  • Ph.D. degree in Computer Science and Engineering
    1997 - 2001
    Universidad Politécnica de Madrid - Madrid, Spain
  • Integrated Bachelor's and Master's degree in Computer Science and Engineering
    1991 - 1997
    Universidad Politécnica de Madrid - Madrid, Spain
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