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General Information

Full Name Guiomar Pescador Barrios
Languages Spanish, French, English
Contact g.pescador-barrios22 at imperial dot ac dot uk

Education

  • 2022-Exp. 2026
    PhD in Statistical Machine Learning
    Imperial College London and University of Oxford, UK
    • Under the supervision of Sarah Filippi and Mark van der Wilk.
    • Variational learning, Probabilistic models, Adaptive model capacity, Continual learning, Efficient training.
    • Fully funded within the EPSRC Center for Doctoral Training StatML CDT.
    • Papers
      • 1 Spotlight paper at ICML 2025
  • 2017-2022
    Master in Mathematics with Honours (First-class)
    University of Edinburgh, UK
    • Master Dissertation: "Statistical Evaluation of Medical Tests" supervised by Vanda Inacio De Carvalho.
    • Undergraduate Group Thesis: "Adaptive Single Hidden Layers Perceptron" supervised by Benedict Leimkuhler.
  • April-July 2025
    Academic Placement
    RIKEN Center for Advanced Intelligence Project, Tokyo, Japan

Experience

  • Oct 2023-2024
    Venture Fellow
    Creator Fund, London, UK
    • Reviewed deep-tech ventures from academic founders, focusing on technical diligence and research-to-market translation.
  • 2020-2021
    Software Development Intern
    Amazon, Madrid, Spain
    • Developed and deployed internal web application for Amazon Business.
    • Designed a new buying policy now used worldwide.
    • Received two full-time job offers for performance.
  • May-Nov 2019
    Intern
    Addlink Scientific Software, Remote & Spain
    • Created educational materials and delivered workshops on Maple 2019 for higher education.
  • Apr 2019
    Technology Insight Programme Participant
    Morgan Stanley, Glasgow, UK
    • Selected for the Technology Insight Programme.
  • Jun 2018
    Research Intern
    Spanish National Institute of Mathematical Sciences (ICMAT), Madrid, Spain
    • Evaluated machine learning algorithms for malware detection.
    • Attended JAE School of Mathematics on Public Key Cryptography and Mathematical Neuroscience.

Honors and Awards

  • 2025
    • G-Research Early-Career Research Grant (ICML 2025 travel).
  • 2024
    • Nova 111 Student Award (Top 10 under 25 in Mathematics, Data Analytics, and Physics, Spain).
  • 2022-2026
    • EPSRC Studentship (PhD funding under the StatML CDT, Imperial College London and University of Oxford).

Invited Talks

  • 2024
    • NeurIPS 2024 Bayesian Decision-Making and Uncertainty Workshop, Vancouver, Canada.
    • F-StatML Seminar Series, Oxford-Man Institute, Oxford, UK.

Closed Workshops and Seminars

  • 2025
    • Bayes-Duality Workshop, Tokyo, Japan
  • 2024
    • Dagstuhl Seminar: "Rethinking the Role of Bayesianism in the Age of Modern AI", Wadern, Germany.
    • Amazon StatML Workshop, Berlin, Germany.

Leadership and Outreach

  • 2025
    • Co-founder of PhD Espresso, peer-support and learning network for PhD students.
  • 2022-2025
    • Student representative for StatML CDT.
  • 2023
    • Oxford Mathematics Festival (volunteer).
  • 2020-2021
    • STEM Ambassador, Scotland.
  • 2020-2021
    • Amazon Campus Ambassador, University of Edinburgh.
  • 2018-2020
    • Secretary of External Relations, Spanish Society at University of Edinburgh (Consulate liaison).

Other Interests

  • Running, Cycling, Playing the Piano