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PhD in Statistics and Machine Learning

• Under the supervision of Andrew Duncan and Deniz Akyildiz.
• Generative modelling, sampling, machine learning theory, diffusion models, Markov Chain Monte Carlo methods, SDEs, AI4Science.
• Fully funded within the EPSRC Center for Doctoral Training in Statistics and Machine Learning (StatML CDT).
• Papers
  • 1 NeurIPS paper
  • 1 UAI paper (Oral)
  • 1 AISTATS paper
  • 1 ICLR workshop paper

MSc. in Statistics

• Top 1%, Winton prize for the best student in the MSc.
• La Caixa Fellowship (Competitive scholarship awarded to only 100 scholars across all disciplines from all over Spain and Portugal to fully fund their studies).
• MSc student representative.

MSc. in Artificial Intelligence

• José Cuena Award (Top student of the year 9.74/10).
• Scholarship for collaboration in university departments (Spanish Ministry of Education).

BSc. in Mathematics and Physics (Double Degree)

• Average grade: 9.16/10 (6 subjects with the “With honours” distinction).
• Top 5% of the cohort. “Comunidad de Madrid” Excellence Prize.

AI Research Intern

• Support the R&D team to create a real-time cloud-based application of their existing machine learning models. Participate in research activities on electric vehicle charging infrastructure usage forecasting services. Run simulations to identify better fleet management strategies.
• June 2023-September 2023.

Machine Learning Research Intern

• Development of a complex machine learning model to detect different types of cyber attacks, with a particular focus on the network lateral movement attack, which is a very difficult cyber attack to detect due to its sophisticated nature.
• January 2022-July 2022.

Research Intern

• ICFO Summer Fellowship. Data analysis for the development and optimization of a portable real- time monitoring platform for the assessment of Covid-19 in the Medical Optics research group.
• June 2021-September 2021.

Quantum Computing Research Intern

• Under the supervision of Carlos Sabín.
• JAE - INTRO 2020 Fellowship. Project on quantum computation and quantum information. Study of state-of-the-art techniques in quantum computation and information, execution of high quality simulations on IBM quantum computers using the Qiskit package in Python, application of quantum methods to optimisation problems and study of quantum machine learning concepts.
• Research outcome was published in Physical Review A.
• September 2020-June 2021.

• QRT PhD Prize (Winner) Imperial College London.

• Finalist for the Mathematics category at STEM for BRITAIN 2025, House of Parliament.

• Best research poster at the department's PhD symposium 2024, 2025, Imperial College London.

• ‘la Caixa’ Foundation Fellowship
• Full fellowship for conducting an MSc. in Statistics at Imperial College London.

• Conference on Uncertainty in Artificial Intelligence (UAI 2025), Rio de Janeiro, Brazil (July 2025).

• Statistics Seminar at the University of Glasgow, UK (May 2025).

• 2nd RSS Workshop on Gradient Flows for Sampling, Inference, and Learning at the Alan Turing Institute, London, UK (March 2025).

• Statistics Seminar at the University of Warwick, UK (February 2025).

• Statistics Internal Seminar at Imperial College London, UK (November 2024).

• Natural Science Showcase Imperial College London, UK (the Mathematics department selected two PhDs) (September 2024).

• Mary Lister McCammon Summer Undergrad Research Fellows, Imperial College London, UK (August 2024, July 2025).

• Girls in Maths Open Day, Imperial College London (March and July 2025).

• Oxford Maths Festival (May 2024).

• Imperial College London Maths School (May 2024).

• Organiser of the weekly Junior Stats Seminar at Imperial College London (2023-2024).