CV

You can download my Industrial CV, my short academic CV or my long academic cv in spanish.

Education

• Ph.D in Computer Science, Universidad Politecnica de Madrid (UPM), Spain
• Ph.D in Information Systems, Brunel University, London, UK
• M.Sc. in Biomedical Engineering, University of California, Los Angeles (UCLA), USA
• B.S. in Computer Engineering, Universidad de Valladolid, Valladolid, Spain

Awards/Acrediatons

• Best Ph.D. Thesis Award in Computer Science- “Premio Extraordinario de Tesis Doctoral de la UPM”
• Ph.D. Fellowship (Beca FPI) - Spanish Commission for Scientific Research. Feb. 97- Dec. 00.
• Post-Doctoral MEC-Fulbright Fellowship - Sep. 01 – Sep. 03
• Ramon y Cajal Postdoctoral Fellowship (Granted for 5 Years - Declined)
• Acredited by ANECA as PCD/PUP.

Work experience

• Research Institute for Innovation in Education(UNIR-iTED), Madrid June 2023 -
  • Director of the IBM Chair on Data Science in Education, Principal Researcher
  • Leading research, design and implementation in AI and GenAI applied to Education. Design and research in LLMs, RAGs and chatbots as student tutors. Design and deployment of AI tools: student abandonment, student asistantce prediction, student personalization of learning, LLMs for personalization. Management of EU projects.
• Universidad Camilo Jose Cela (UCJC), Madrid, Spain April 2021 - June 2023
  • Director of the Master in Artificial Intelligence at UCJC
  • Professor, School of Computer Science. Focusing on AI, ML, Applied Machine Learning (supervised and unsupervised approaches) and Temporal Series Analysis. Proficient in delivering both online and traditional courses. Designed the MSc degree in AI/Data Science from scratch.
• Telefónica Research, Madrid, Spain April 2008-March 2021
  • Applied Researcher, Core Innovation, AI Group

  • Lead research, prototyping and alpha versions in AI user-centered products including mobility, user modelling (gender, socieconomics, age, points of interest, routes), AI for social good and urban computing. Manage focused groups of engineers, and PhDs for the creation of new services. AI evangelist for the Telef´onica Group. Co-creation of new products with business units and/or transfer algorithms and results to the business groups. Patenting new methods. Presenting to the media and other third parties (public institutions, international agencies) the results and social benefits of AI. Some Projects:

    • AI for IoT and Telco Networks - Client: TEF Tech Designed LSTM for identification of network status for maintenance prediction. Designed clustering techniques (GMM, SOM, spectral) for anomaly detection and behavioral modeling of Movistar Car. Advanced Socioeconomic and Unemployment Prediction I developed cuttingedge ML models aimed at predicting socioeconomic levels and unemployment rates for both geographical areas and individuals. Prediction accuracy up to 90%. Systems were integrated into personalization platform, enhancing Telef´onica’s marketing strategies.
    • COVID19 Models - Client: LUCA Telefonica Data Unit Used mobility data from cell phone traces to run epidemiological models for prediction of the evolution of the pandemic. Results offered to the SEDIA as part of the Telefonica offer.
    • Drivies - Client: Intrapreneurship product for Car Insurance Created a risk estimation model for drivers based on speed, points of interest, routes, accelearation and decelarion built on top of standard risk model to improve risk scoring. The model identified 5% more extra risky drivers.
    • Tourists Estimation - Smart Steps O2 UK Estimation and prediction of number of tourists based on the roaming information of the network, including origin, areas of visits, time of stay.
• University of California, Los Angeles (UCLA) Sep. 2006-March 2008
  • Biomedical Engineering Department, UCLA Medical Center
  • Researcher. Research leader for a personalization tool for medical patients.
• Brunel University, London, UK Sep. 2003-Sep. 2006
  • Department of Information Systems & Computing
  • AHRB Research Fellow. Research leader in a project that modeled user behavior with Machine Learning techniques when interacting with digital libraries. Personalization of the interaction using psicological traits.
• New York University (NYU), New York City, NY, USA Sep. 2001-Aug. 2003
  • Courant Institute of Mathematical Sciences, Department of Computer Science.
  • MEC-Fulbright Postdoctoral Researcher. Leading research in data mining and user modeling for improving user experience when interacting with the Web. Keywords: Data Mining, Personalization.
• Texas A&M University, College Station, TX, USA May 1999-Aug. 1999
  • Center for Fuzzy Logic, Robotics and Intelligent Systems (CFL)
  • Visiting Researcher. Applications of fuzzy logic and deployement of programmable fuzzy logic processors.
• Universidad Politécnica de Madrid, Madrid, Spain Sep. 1997-Aug. 2001
  • School of Computer Science
  • FPI PhD Fellow. Ph.D. Thesis in pattern recognition, fuzzy logic, and fuzzy logic applications. The PhD Thesis proposses a compilation technique to work with an approximation of the control surfaces and acoiding used the set of fuzzy rules directly.
• EADS-ASTRIUM-CRISA, Madrid, Spain Dec.1996-Jun. 1997
  • Aerospace Technology. Quality Engineer.
  • Activities: Software quality/configuration control, Responsible for the design of a configuration control system.

Skills

• Machine Learning (supervised and unsupervised), Python, Scikit-learn, XGBoost
• Temporal Series Analysis, Prophet, AutoARIMA
• Deep Learning, PyTorch, LSTM, CNN, LLMs, OpenAI API, LangChain, RAG
• AI/ML Course Design, AI/ML curriculum Design
• Applications: Medical Image, Socioeconomic predictions, AI in telco, AI in Education.